WO2011085357A2 - Controlling and staggering operations to limit current spikes - Google Patents

Controlling and staggering operations to limit current spikes Download PDF

Info

Publication number
WO2011085357A2
WO2011085357A2 PCT/US2011/020801 US2011020801W WO2011085357A2 WO 2011085357 A2 WO2011085357 A2 WO 2011085357A2 US 2011020801 W US2011020801 W US 2011020801W WO 2011085357 A2 WO2011085357 A2 WO 2011085357A2
Authority
WO
WIPO (PCT)
Prior art keywords
power
subsystems
controller
subsystem
intensive
Prior art date
Application number
PCT/US2011/020801
Other languages
French (fr)
Other versions
WO2011085357A3 (en
Inventor
Nir J. Wakrat
Daniel J. Post
Kenneth Herman
Vadim Khmelnitsky
Nick Seroff
Hsiao Thio
Matthew Byom
Original Assignee
Apple, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Apple, Inc. filed Critical Apple, Inc.
Priority to JP2012548225A priority Critical patent/JP2013516716A/en
Priority to EP11700486A priority patent/EP2524271A2/en
Priority to AU2011203893A priority patent/AU2011203893B2/en
Priority to BR112012017020A priority patent/BR112012017020A2/en
Priority to KR1020147021723A priority patent/KR20140102771A/en
Priority to CN2011800103089A priority patent/CN102782607A/en
Priority to MX2012008096A priority patent/MX2012008096A/en
Publication of WO2011085357A2 publication Critical patent/WO2011085357A2/en
Publication of WO2011085357A3 publication Critical patent/WO2011085357A3/en

Links

Classifications

    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C16/00Erasable programmable read-only memories
    • G11C16/02Erasable programmable read-only memories electrically programmable
    • G11C16/06Auxiliary circuits, e.g. for writing into memory
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C16/00Erasable programmable read-only memories
    • G11C16/02Erasable programmable read-only memories electrically programmable
    • G11C16/06Auxiliary circuits, e.g. for writing into memory
    • G11C16/30Power supply circuits
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode

Definitions

  • a flash memory system which is commonly used for mass storage in consumer electronics, is one example of a current system in which peak power issues are a concern.
  • a system may be provided that includes multiple subsystems and a controller for controlling the subsystems .
  • Each of the subsystems may have substantially the same features and functionality and may have a current profile that is peaky.
  • each subsystem may perform operations that vary in power consumption so, over time, there may be current peaks in a subsystem's current profile
  • the system may be or include a memory system.
  • a memory system that may have particularly peaky current profiles is a flash memory system (e.g., NAND flash memory system) .
  • the subsystems may include different flash dies, which may perform power- intensive operations that cause spikes in the flash die current consumption profile.
  • the controller that controls the flash dies may include a host processor (e.g., in a raw or managed NAND system) and/or a flash controller (e.g., in a managed NAND system) .
  • a host processor e.g., in a raw or managed NAND system
  • a flash controller e.g., in a managed NAND system
  • the system can include any other suitable non-volatile memory system, such as a hard drive system, or any suitable parallel-computing system.
  • the controller e.g., the host processor and/or the flash controller
  • the controller may be configured to manage the peak power consumption of the system. For example, the controller may limit the number of subsystems that can perform power- intensive operations at the same time or aid a subsystem in determining the peak power the subsystem may consume at any given time. This way, the total power of the system may be
  • multiplexing scheme may be used, where the controller assigns each subsystem a time slot for performing power- intensive operations.
  • the controller may be configured to grant permission to at most a predetermined number of subsystems at any given time to perform power- intensive operations.
  • the controller may keep track of the sum of the expected current usage of those subsystems performing substantial operations, and may grant permission to additional subsystems based on the sum.
  • the controller may provide power status information about the system (e.g., the total number of subsystems performing power-intensive operations) to a particular subsystem to indicate to the particular subsystem what types of operations may be appropriate to perform.
  • FIG. 1 is a schematic view of an illustrative system including a controller and multiple subsystems configured in accordance with various embodiments of the invention
  • FIG. 2A is a schematic view of an
  • non-volatile memory system including a host processor and a managed non-volatile memory package configured in accordance with various
  • FIG. 2B is a schematic view of an
  • non-volatile memory system including a host processor and a raw non-volatile memory package configured in accordance with various embodiments of the invention
  • FIG. 2C is a graph illustrating a peaky current consumption profile of a memory subsystem in accordance with various embodiments of the invention.
  • FIG. 3 is a flowchart of an illustrative process for staggering power-intensive operations of different subsystems using a time division multiplexing scheme in accordance with various embodiments of the invention
  • FIG. 4 is a flowchart of an illustrative process for managing power- intensive operations of different subsystems using requests by a subsystem in accordance with various embodiments of the invention.
  • FIG. 5 is a flowchart of an illustrative process for managing power- intensive operations of different subsystems by providing, to a subsystem, power status information of the system in accordance with various embodiments of the invention.
  • FIG. 1 is a schematic view of illustrative system 100 that may suffer from peak power issues.
  • system 100 can include controller 110 and multiple subsystems 120, where the combined power consumption of subsystems 120 may be undesirably peaky when not suitably managed by controller 110.
  • each of subsystems 120 may have
  • subsystems 120 may have been manufactured using substantially the same manufacturing process or may have substantially the same specifications (e.g., in terms of materials used, etc.) .
  • Each of subsystems 120 may have a current or power profile that is peaky. In particular, during operation, each of subsystems 120 may perform some operations that are higher in power and some operations that are lower in power. Thus, over time, the current or power profile of each of subsystems 120 may rise and fall, where the highest peaks occur when a subsystem is performing its most high-power operation. If multiple subsystems perform high-power operations at the same time, the overall power or current profile for
  • system 100 may reach a peak power level that is above the power threshold or specification for system 100.
  • a "power- intensive operation” may be a subsystem operation that may have a substantial effect on the overall power levels of the system.
  • a “power- intensive operation” may refer to an operation that requires or is expected to consume at least a predetermined amount of current.
  • Controller 110 may be configured to control, manage, and/or synchronize the operations performed by subsystems 120 so that such overall system peaks do not (or are less likely) to occur.
  • controller 110 may control subsystems 120 such that at most a
  • Controller 110 may include any suitable combination of hardware-based (e.g., application-specific integrated circuits, field programmable arrays, etc.) and software-based
  • components for managing subsystems 120.
  • components e.g., processors, microprocessors, etc.
  • System 100 is illustrated as having three subsystems, but it should be understood that system 100 can include any suitable number of subsystems (e.g., two, four, five, or more subsystems) .
  • System 100 may be any suitable type of electronic system that could suffer from peak power issues.
  • system 100 may be or include a parallel-computing system or a memory system (e.g., a hard drive system or a flash memory system, such as a
  • NAND flash memory system etc.
  • FIGS. 2A and 2B are schematic views of memory systems, which are examples of various embodiments of system 100 of FIG. 1.
  • memory system 200 can include host processor 210 and at least one non-volatile memory (“NVM”) package 220.
  • Host processor 210 and optionally NVM package 220 can be implemented in any suitable host device or system, such as a portable media player (e.g., an iPodTM made available by Apple Inc. of Cupertino, CA) , a cellular telephone (e.g., an iPhoneTM made available by Apple Inc.), a pocket-sized personal computer, a personal digital assistance (“PDA”), a desktop computer, or a laptop computer.
  • a portable media player e.g., an iPodTM made available by Apple Inc. of Cupertino, CA
  • a cellular telephone e.g., an iPhoneTM made available by Apple Inc.
  • PDA personal digital assistance
  • Host processor 210 can include one or more processors or microprocessors that are currently available or will be developed in the future.
  • host processor 210 can include or operate in conjunction with any other components or circuitry capable of controlling various operations of memory system 200 (e.g., application- specific integrated circuits ("ASICs")).
  • ASICs application- specific integrated circuits
  • host processor 210 can execute firmware and software programs loaded into a memory (not shown) implemented on the host.
  • the memory can include any suitable type of volatile memory (e.g., cache memory or random access memory (“RAM”), such as double data rate (“DDR”) RAM or static RAM (“SRAM”)).
  • RAM random access memory
  • DDR double data rate
  • SRAM static RAM
  • host processor 210 can execute NVM driver 212, which may provide vendor-specific and/or technology-specific instructions that enable host processor 210 to perform various memory management and access functions for nonvolatile memory package 220.
  • NVM package 220 may be a ball grid array ("BGA") package or other suitable type of integrated circuit (“IC”) package.
  • NVM package 220 may be managed NVM package.
  • NVM package 220 can include NVM controller 222 coupled to any suitable number of NVM dies 224.
  • NVM controller 222 may include any suitable combination of processors,
  • NVM controller 222 may share the responsibility of managing and/or accessing the physical memory locations of NVM dies 224 with NVM driver 212. Alternatively, NVM controller 222 may perform substantially all of the management and access functions for NVM dies 224.
  • a “managed NVM” may refer to a memory device or package that includes a controller (e.g., NVM
  • NVM controller 222 configured to perform at least one memory management function for a non-volatile memory (e.g., NVM dies 224) .
  • One of the management functions that can be performed by NVM controller 222 may be to control the peak power consumption of memory
  • NVM controller 222 may manage the power consumption of NVM package 210 (and NVM dies 224 in particular) without affecting the actions or performance of host processor 210.
  • NVM controller 222 and/or host processor 210 for NVM dies 224 can include issuing read, write, or erase instructions and performing wear leveling, bad block management, garbage collection, logical-to-physical address mapping, SLC or MLC programming decisions, applying error correction or detection, and data queuing to set up program
  • NVM dies 224 may be used to store information that needs to be retained when memory system 200 is powered down.
  • a "non-volatile memory” can refer to NVM dies in which data can be stored, or may refer to a NVM package that includes the NVM dies.
  • NVM dies 224 can include NAND flash memory based on floating gate or charge trapping technology, NOR flash memory, erasable programmable read only memory (“EPROM”), electrically erasable programmable read only memory (“EEPROM”), ferroelectric RAM (“FRAM”), magnetoresistive RAM
  • MRAM phase change memory
  • PCM phase change memory
  • FIG. 2B a schematic view of memory system 250 is shown, which may be an example of another embodiment of system 100 of FIG. 1.
  • Memory system 250 may have any of the features and
  • any of the components depicted in FIG. 2B may have any of the features and functionalities of like-named components in FIG. 2A, and vice versa.
  • Memory system 250 can include host
  • processor 260 and non-volatile memory package 270.
  • NVM package 270 does not include an embedded NVM controller, and therefore NVM dies 274 may be managed entirely by host processor 260 (e.g., via NVM driver 262) .
  • host processor 260 e.g., via NVM driver 262
  • nonvolatile memory package 270 may be referred to as a "raw NVM.”
  • a "raw NVM” may refer to a memory device or package that may be managed entirely by a host
  • controller or processor e.g., host processor 260
  • host processor 260 implemented external to the NVM package.
  • One of the management functions performed by host processor 260 in such raw NVM implementations may be to control the peak power consumption of memory system 250.
  • processor 260 may also perform any of the other memory management and access functions discussed above in connection with host processor 210 and NVM
  • NVM controller 222 of FIG. 2A.
  • processor 270 may each embody the features and functionality of
  • NVM dies 224 and 274 may embody the features and functionality of subsystems 120 discussed above in connection with FIG. 1.
  • NVM dies 224 and 274 may each have a peaky current profile, where the highest peaks occur when a die is performing its most power- intensive operations.
  • a power- intensive operation is a sensing operation (e.g., current sensing operation) , which may be used when reading data stored in memory cells. Such sensing operations may be performed, for example, responsive to read requests from a host processor and/or a NVM controller when verifying that data was properly stored after
  • FIG. 2C shows illustrative current
  • profile 290 gives an example of the current consumption of a NVM die (e.g., one of NVM dies 224 or 274) during a verification-type sensing operation. With several peaks, including peaks 292 and 294, current consumption profile 290 illustrates how peaky a verification-type sensing operation may be. These verification-type sensing operations may be of particular concern, as these operations may be likely to occur across multiple NVM dies at the same time (i.e., due to employing parallel writes across multiple dies) . Thus, if not managed by NVM controller 222 (FIG. 2A) or host processor 260, the peaks of different NVM dies may overlap and the total current sum may be unacceptably high. This situation may occur with other types of power- intensive operations, such as erase and program operations .
  • NVM controller 222 FPGA controller 222
  • host processor 260 FPGA controller 260
  • FIG. 2B can further include controlling NVM dies 224 or 274 to manage the overall peak power of their respective systems by, for example, limiting the number of NVM dies 224 or 274 that may perform power- intensive operations at the same time (e.g., staggering power- intensive operations so that current peaks are unlikely to occur at the same time) or by aiding a NVM die in determining the peak power that it may consume at any given time.
  • NVM controller 222 FIG. 2A
  • host processor 260 FIG. 2B
  • controller 110 e.g., NVM controller 222 (FIG. 2A) or host processor 260
  • FIG. 2B may use any suitable approach to manage the overall peak power consumption of system 100.
  • a time division multiplexing scheme may be used, where controller 110 assigns each subsystem a time slot for performing power- intensive operations. This may enable subsystems 120 to stagger their power- intensive operations.
  • controller 110 assigns each subsystem a time slot for performing power- intensive operations. This may enable subsystems 120 to stagger their power- intensive operations.
  • This approach will be described below in connection with FIG. 3.
  • controller 110 may be configured to grant permission to at most a
  • subsystems 120 may each request permission from controller before performing a power- intensive
  • controller 110 may manage the number of subsystems 120 that are granted permission. Whether controller 110 grants permission to a subsystem may depend, for example, on the expected total current consumption of the subsystems that have already been granted permission. One example of this approach will be described below in connection with FIG. 4.
  • controller 110 may provide power status information about the system to a particular subsystem to indicate to the particular subsystem what types of operations may be appropriate to perform.
  • the power status information may indicate the total number of subsystems 110 currently performing power- intensive operations, or the power status information may indicate the expected current sum utilized by those subsystems 110 performing power- intensive operations.
  • An example of this approach will be described below in connection with FIG. 5. It should be understood that these three approaches are merely illustrative and that other approaches may be implemented by controller 110 instead.
  • FIGS. 3-5 are flowcharts of illustrative processes that may be performed by systems configured in accordance with various embodiments of the
  • FIG. 3 a flowchart of illustrative process 300 is shown for timing power- intensive operations amongst multiple subsystems using a time division multiplexing scheme.
  • Process 300 may begin at step 302. Then, at step 304, the clocks of each subsystem may be synchronized. The clocks may be synchronized using any suitable approach, such as feeding the same clock (i.e., clock signals derived from the same source clock) to each of the subsystems or using a controller to synchronize each subsystem's internal clock.
  • time may be divided into multiple time slots.
  • the number of time slots may be based on the number of subsystems, such as providing one time slot per subsystem, one time slot per two subsystems, etc.
  • the time slots may be of any suitable length, such as N clock cycles in length, where N can be any suitable positive integer. For example, if there are four subsystems, step 306 may involve creating and rotating between four time slots of N clock cycles each.
  • each subsystem may be assigned to one of the time slots.
  • the subsystem may perform any power- intensive operations, such as program operations in flash memory systems.
  • the subsystem may hold off on performing power- intensive operations, and may instead stall until its assigned time slot begins and/or perform non-power- intensive operations in the meantime.
  • each subsystem may be assigned to a different one of the time slots so that only one subsystem may perform power- intensive operations at any given time.
  • more than one (but less than all) of the subsystems may be assigned to the same time slot.
  • Process 300 may continue to step 310 and end. In other embodiments, process 300 may return to step 302 after a suitable amount of time in embodiments where the subsystems' clocks may need to be
  • Process 400 may begin at step 402. Then, at step 404, one of the subsystems in the system (referred to as the first subsystem in FIG. 4) may decide to initiate a power-intensive operation. For example, in a flash memory system, the next queued operation for one of the flash dies may be a power-intensive operation, such as a sensing
  • the subsystem may provide a request to the controller of the system (e.g., a NVM driver or controller for non-volatile memory systems) to initiate the power-intensive operation.
  • the subsystem may request permission from the controller to perform the power- intensive operation via a physical communications link dedicated to this purpose, by issuing an appropriate command via a suitable communications protocol or interface, or using any other suitable approach.
  • the controller may then, at step 408, determine whether one or more other subsystems are performing power-intensive operations.
  • the controller may make this determination by verifying whether the controller has already granted permission to perform a power-intensive operation to more than a predetermined number (e.g., one, two, etc.) of other subsystems and that these operations are not yet complete.
  • the controller may decide whether to allow the subsystem to perform the power- intensive operation. In some embodiments, the
  • controller may not allow the operation if a
  • predetermined number of other systems are currently performing power-intensive operations, and may allow the operation otherwise.
  • the determination at step 408 may further include determining the expected combined peak current of the one or more other
  • the controller can make this determination based on expected current usage.
  • the controller may, for example, decide to allow an operation if there are several subsystems performing less power-consuming power- intensive operations, but may decide not to allow the operation if there are fewer subsystems (e.g., one other subsystem) performing more power-consuming power- intensive operations.
  • process 400 may move to step 412, and a signal may be provided, from the controller to the subsystem, to wait on performing the power-intensive operation.
  • the signal may be given in any suitable form, such as a signal on a dedicated physical line, as an appropriate command using a suitable protocol or interface, etc. This way, the subsystem can be instructed to hold off on
  • Process 400 may then return to step 410 to again determine whether the power- intensive
  • operation can be allowed by the controller (e.g., whether one or more subsystems have finished performing power- intensive operations) .
  • step 410 If, at step 410, the controller determines that the power-intensive operation should be allowed, process 400 may move to step 414. At step 414, permission may be provided, from the controller to the subsystem, to proceed with the power-intensive
  • the power- intensive operation may be performed by the subsystem.
  • the subsystem may indicate the completion of the power- intensive operation to the controller at step 418.
  • the indication may be an express indication to the
  • controller or the controller can infer the completion of the power- intensive operation when the subsystem provides a result of the operation (e.g., for a flash memory system, any resulting data from a read
  • the controller may be able to grant permission to another subsystem to perform a power-intensive operation.
  • Process 400 may then end at step 420.
  • Process 500 may begin at step 502.
  • the number of subsystems performing power-intensive operations may be determined by, for example, a controller that can control the subsystems.
  • the subsystems may each be configured to signal to the controller when the subsystem begins or ends a power-intensive operation. This way, the controller can keep track of the number of subsystems performing power-intensive operations at any given time .
  • an indication of the number of subsystems performing power- intensive operations may be provided from the controller to one or more of the subsystems.
  • the indication may be provided to all of the subsystems in the system or to all of the subsystems performing power-intensive operations.
  • the indication may be provided at any suitable time or responsive to any suitable stimulus, such as in response to receiving an indication from a subsystem that the subsystem is about to begin
  • Process 500 may then continue to step 506.
  • operations may be performed at the subsystem based on the number of subsystems performing power- intensive operations.
  • a subsystem may trade off speed and power (i.e., the subsystem may perform the operation at high speed at the cost of increasing power consumption, or the subsystem may perform the operation at low power at the cost of the operation taking a longer time to complete) .
  • a subsystem can increase speed at the cost of power by parallelizing computations instead of serializing them, or by charging a charge pump at a higher rate.
  • the subsystem may use a higher/highest-speed,
  • Process 500 may then end at step 510.
  • FIGS. 3-5 are merely illustrative. Any of the steps may be removed, modified, or combined, and any additional steps may be added, without departing from the scope of the invention.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Power Sources (AREA)
  • Read Only Memory (AREA)
  • Techniques For Improving Reliability Of Storages (AREA)

Abstract

Systems and methods are disclosed for managing the peak power consumption of a system, such as a non-volatile memory system (e.g., flash memory system). The system can include multiple subsystems and a controller for controlling the subsystems. Each subsystem may have a current profile that is peaky. Thus, the controller may control the peak power of the system by, for example, limiting the number of subsystems that can perform power-intensive operations at the same time or by aiding a subsystem in determining the peak power that the subsystem may consume at any given time.

Description

CONTROLLING AND STAGGERING OPERATIONS
TO LIMIT CURRENT SPIKES
Field of the Invention
[0001] This can relate to managing the peak power consumption of a system, such as a NAND flash memory system.
Background of the Disclosure
[0002] Electronic systems are becoming more and more complex and are incorporating more and more components. As such, peak power issues for these systems continue to be a concern. In particular, because many of the components in a system may operate at the same time, the system can suffer from power or current spikes. This effect may be particularly pronounced when the system components are each performing high-power operations .
[0003] A flash memory system, which is commonly used for mass storage in consumer electronics, is one example of a current system in which peak power issues are a concern. Summary of the Disclosure
[ 0004 ] Systems and methods are disclosed for managing the peak power consumption of a system, as flash memory system (e.g., NAND flash memory system) .
[ 0005 ] A system may be provided that includes multiple subsystems and a controller for controlling the subsystems . Each of the subsystems may have substantially the same features and functionality and may have a current profile that is peaky. In
particular, each subsystem may perform operations that vary in power consumption so, over time, there may be current peaks in a subsystem's current profile
corresponding to the more high-power operations.
[ 0006 ] In some embodiments, the system may be or include a memory system. An example of a memory system that may have particularly peaky current profiles is a flash memory system (e.g., NAND flash memory system) . In such flash systems, the subsystems may include different flash dies, which may perform power- intensive operations that cause spikes in the flash die current consumption profile. The controller that controls the flash dies may include a host processor (e.g., in a raw or managed NAND system) and/or a flash controller (e.g., in a managed NAND system) . In other
embodiments, instead of a flash memory system, the system can include any other suitable non-volatile memory system, such as a hard drive system, or any suitable parallel-computing system.
[ 0007 ] The controller (e.g., the host processor and/or the flash controller) may be configured to manage the peak power consumption of the system. For example, the controller may limit the number of subsystems that can perform power- intensive operations at the same time or aid a subsystem in determining the peak power the subsystem may consume at any given time. This way, the total power of the system may be
maintained within a threshold level suitable for operation of the hosting system.
[ 0008 ] In some embodiments, a time division
multiplexing scheme may be used, where the controller assigns each subsystem a time slot for performing power- intensive operations. In other embodiments, the controller may be configured to grant permission to at most a predetermined number of subsystems at any given time to perform power- intensive operations.
Alternatively, the controller may keep track of the sum of the expected current usage of those subsystems performing substantial operations, and may grant permission to additional subsystems based on the sum. In still other embodiments, the controller may provide power status information about the system (e.g., the total number of subsystems performing power-intensive operations) to a particular subsystem to indicate to the particular subsystem what types of operations may be appropriate to perform.
Brief Description of the Drawings
[ 0009 ] The above and other aspects and advantages of the invention will become more apparent upon
consideration of the following detailed description, taken in conjunction with accompanying drawings, in which like reference characters refer to like parts throughout, and in which:
[ 0010 ] FIG. 1 is a schematic view of an illustrative system including a controller and multiple subsystems configured in accordance with various embodiments of the invention;
[ 0011 ] FIG. 2A is a schematic view of an
illustrative non-volatile memory system including a host processor and a managed non-volatile memory package configured in accordance with various
embodiments of the invention;
[ 0012 ] FIG. 2B is a schematic view of an
illustrative non-volatile memory system including a host processor and a raw non-volatile memory package configured in accordance with various embodiments of the invention;
[ 0013 ] FIG. 2C is a graph illustrating a peaky current consumption profile of a memory subsystem in accordance with various embodiments of the invention;
[ 0014 ] FIG. 3 is a flowchart of an illustrative process for staggering power-intensive operations of different subsystems using a time division multiplexing scheme in accordance with various embodiments of the invention;
[ 0015 ] FIG. 4 is a flowchart of an illustrative process for managing power- intensive operations of different subsystems using requests by a subsystem in accordance with various embodiments of the invention; and
[ 0016 ] FIG. 5 is a flowchart of an illustrative process for managing power- intensive operations of different subsystems by providing, to a subsystem, power status information of the system in accordance with various embodiments of the invention. Detailed Description of the Disclosure
[ 0017 ] FIG. 1 is a schematic view of illustrative system 100 that may suffer from peak power issues. In particular, system 100 can include controller 110 and multiple subsystems 120, where the combined power consumption of subsystems 120 may be undesirably peaky when not suitably managed by controller 110. In some embodiments, each of subsystems 120 may have
substantially the same features and functionalities. For example, subsystems 120 may have been manufactured using substantially the same manufacturing process or may have substantially the same specifications (e.g., in terms of materials used, etc.) .
[ 0018 ] Each of subsystems 120 may have a current or power profile that is peaky. In particular, during operation, each of subsystems 120 may perform some operations that are higher in power and some operations that are lower in power. Thus, over time, the current or power profile of each of subsystems 120 may rise and fall, where the highest peaks occur when a subsystem is performing its most high-power operation. If multiple subsystems perform high-power operations at the same time, the overall power or current profile for
system 100 may reach a peak power level that is above the power threshold or specification for system 100.
As used herein, a "power- intensive operation" may be a subsystem operation that may have a substantial effect on the overall power levels of the system. For example, a "power- intensive operation" may refer to an operation that requires or is expected to consume at least a predetermined amount of current.
[ 0019 ] Controller 110 may be configured to control, manage, and/or synchronize the operations performed by subsystems 120 so that such overall system peaks do not (or are less likely) to occur. In particular, as described in greater detail below, controller 110 may control subsystems 120 such that at most a
predetermined number of subsystems 120 are performing power- intensive operations at the same time or by aiding a subsystem in determining the peak power the subsystem may use at any given time. Controller 110 may include any suitable combination of hardware-based (e.g., application-specific integrated circuits, field programmable arrays, etc.) and software-based
components (e.g., processors, microprocessors, etc.) for managing subsystems 120.
[ 0020 ] System 100 is illustrated as having three subsystems, but it should be understood that system 100 can include any suitable number of subsystems (e.g., two, four, five, or more subsystems) .
[ 0021 ] System 100 may be any suitable type of electronic system that could suffer from peak power issues. For example, system 100 may be or include a parallel-computing system or a memory system (e.g., a hard drive system or a flash memory system, such as a
NAND flash memory system, etc.) .
[ 0022 ] FIGS. 2A and 2B are schematic views of memory systems, which are examples of various embodiments of system 100 of FIG. 1. Looking first to FIG. 2A, memory system 200 can include host processor 210 and at least one non-volatile memory ("NVM") package 220. Host processor 210 and optionally NVM package 220 can be implemented in any suitable host device or system, such as a portable media player (e.g., an iPod™ made available by Apple Inc. of Cupertino, CA) , a cellular telephone (e.g., an iPhone™ made available by Apple Inc.), a pocket-sized personal computer, a personal digital assistance ("PDA"), a desktop computer, or a laptop computer.
[ 0023 ] Host processor 210 can include one or more processors or microprocessors that are currently available or will be developed in the future.
Alternatively or in addition, host processor 210 can include or operate in conjunction with any other components or circuitry capable of controlling various operations of memory system 200 (e.g., application- specific integrated circuits ("ASICs")). In a
processor-based implementation, host processor 210 can execute firmware and software programs loaded into a memory (not shown) implemented on the host. The memory can include any suitable type of volatile memory (e.g., cache memory or random access memory ("RAM"), such as double data rate ("DDR") RAM or static RAM ("SRAM")). Host processor 210 can execute NVM driver 212, which may provide vendor-specific and/or technology-specific instructions that enable host processor 210 to perform various memory management and access functions for nonvolatile memory package 220.
[ 0024 ] NVM package 220 may be a ball grid array ("BGA") package or other suitable type of integrated circuit ("IC") package. NVM package 220 may be managed NVM package. In particular, NVM package 220 can include NVM controller 222 coupled to any suitable number of NVM dies 224. NVM controller 222 may include any suitable combination of processors,
microprocessors, or hardware-based components (e.g., ASICs) , and may include the same components as or different components from host processor 210. NVM controller 222 may share the responsibility of managing and/or accessing the physical memory locations of NVM dies 224 with NVM driver 212. Alternatively, NVM controller 222 may perform substantially all of the management and access functions for NVM dies 224.
Thus, a "managed NVM" may refer to a memory device or package that includes a controller (e.g., NVM
controller 222) configured to perform at least one memory management function for a non-volatile memory (e.g., NVM dies 224) . One of the management functions that can be performed by NVM controller 222 may be to control the peak power consumption of memory
system 200. This way, NVM controller 222 may manage the power consumption of NVM package 210 (and NVM dies 224 in particular) without affecting the actions or performance of host processor 210.
[ 0025 ] Other memory management and access functions that may be performed by NVM controller 222 and/or host processor 210 for NVM dies 224 can include issuing read, write, or erase instructions and performing wear leveling, bad block management, garbage collection, logical-to-physical address mapping, SLC or MLC programming decisions, applying error correction or detection, and data queuing to set up program
operations .
[ 0026 ] NVM dies 224 may be used to store information that needs to be retained when memory system 200 is powered down. As used herein, and depending on context, a "non-volatile memory" can refer to NVM dies in which data can be stored, or may refer to a NVM package that includes the NVM dies. NVM dies 224 can include NAND flash memory based on floating gate or charge trapping technology, NOR flash memory, erasable programmable read only memory ("EPROM"), electrically erasable programmable read only memory ("EEPROM"), ferroelectric RAM ("FRAM"), magnetoresistive RAM
( "MRAM" ) , phase change memory ("PCM"), any other known or future types of non-volatile memory technology, or any combination thereof.
[ 0027 ] Referring now to FIG. 2B, a schematic view of memory system 250 is shown, which may be an example of another embodiment of system 100 of FIG. 1. Memory system 250 may have any of the features and
functionalities described above in connection with memory system 200 of FIG. 2A. In particular, any of the components depicted in FIG. 2B may have any of the features and functionalities of like-named components in FIG. 2A, and vice versa.
[ 0028 ] Memory system 250 can include host
processor 260 and non-volatile memory package 270.
Unlike memory system 200 of FIG. 2A, NVM package 270 does not include an embedded NVM controller, and therefore NVM dies 274 may be managed entirely by host processor 260 (e.g., via NVM driver 262) . Thus, nonvolatile memory package 270 may be referred to as a "raw NVM." A "raw NVM" may refer to a memory device or package that may be managed entirely by a host
controller or processor (e.g., host processor 260) implemented external to the NVM package. One of the management functions performed by host processor 260 in such raw NVM implementations may be to control the peak power consumption of memory system 250. Host
processor 260 may also perform any of the other memory management and access functions discussed above in connection with host processor 210 and NVM
controller 222 of FIG. 2A. [ 0029 ] With continued reference to both FIGS. 2A and 2B, NVM controller 222 (FIG. 2A) and host
processor 270 (e.g., via NVM driver 262) (FIG. 2B) may each embody the features and functionality of
controller 110 discussed above in connection with FIG. 1, and NVM dies 224 and 274 may embody the features and functionality of subsystems 120 discussed above in connection with FIG. 1. In particular, NVM dies 224 and 274 may each have a peaky current profile, where the highest peaks occur when a die is performing its most power- intensive operations. In flash memory embodiments, an example of such a power- intensive operation is a sensing operation (e.g., current sensing operation) , which may be used when reading data stored in memory cells. Such sensing operations may be performed, for example, responsive to read requests from a host processor and/or a NVM controller when verifying that data was properly stored after
programming .
[ 0030 ] FIG. 2C shows illustrative current
consumption profile 290. Current consumption
profile 290 gives an example of the current consumption of a NVM die (e.g., one of NVM dies 224 or 274) during a verification-type sensing operation. With several peaks, including peaks 292 and 294, current consumption profile 290 illustrates how peaky a verification-type sensing operation may be. These verification-type sensing operations may be of particular concern, as these operations may be likely to occur across multiple NVM dies at the same time (i.e., due to employing parallel writes across multiple dies) . Thus, if not managed by NVM controller 222 (FIG. 2A) or host processor 260, the peaks of different NVM dies may overlap and the total current sum may be unacceptably high. This situation may occur with other types of power- intensive operations, such as erase and program operations .
[ 0031 ] Thus, as discussed above, the memory
management and access functions performed by NVM controller 222 (FIG. 2A) or host processor 260
(FIG. 2B) can further include controlling NVM dies 224 or 274 to manage the overall peak power of their respective systems by, for example, limiting the number of NVM dies 224 or 274 that may perform power- intensive operations at the same time (e.g., staggering power- intensive operations so that current peaks are unlikely to occur at the same time) or by aiding a NVM die in determining the peak power that it may consume at any given time. This way, NVM controller 222 (FIG. 2A) or host processor 260 (FIG. 2B) may prevent the overall peak power consumption of their respective memory systems from being too high.
[ 0032 ] Returning to FIG. 1, but with continued reference to FIGS. 2A and 2B, controller 110 (e.g., NVM controller 222 (FIG. 2A) or host processor 260
(FIG. 2B) ) may use any suitable approach to manage the overall peak power consumption of system 100. In some embodiments, a time division multiplexing scheme may be used, where controller 110 assigns each subsystem a time slot for performing power- intensive operations. This may enable subsystems 120 to stagger their power- intensive operations. One example of this approach will be described below in connection with FIG. 3.
[ 0033 ] In other embodiments, controller 110 may be configured to grant permission to at most a
predetermined number of subsystems at any given time to perform power- intensive operations. For example, subsystems 120 may each request permission from controller before performing a power- intensive
operation, and controller 110 may manage the number of subsystems 120 that are granted permission. Whether controller 110 grants permission to a subsystem may depend, for example, on the expected total current consumption of the subsystems that have already been granted permission. One example of this approach will be described below in connection with FIG. 4.
[ 0034 ] In still other embodiments, controller 110 may provide power status information about the system to a particular subsystem to indicate to the particular subsystem what types of operations may be appropriate to perform. For example, the power status information may indicate the total number of subsystems 110 currently performing power- intensive operations, or the power status information may indicate the expected current sum utilized by those subsystems 110 performing power- intensive operations. An example of this approach will be described below in connection with FIG. 5. It should be understood that these three approaches are merely illustrative and that other approaches may be implemented by controller 110 instead.
[ 0035 ] FIGS. 3-5 are flowcharts of illustrative processes that may be performed by systems configured in accordance with various embodiments of the
invention. For example, any of the systems discussed above in connection with FIGS. 1, 2A, and 2B (e.g., a flash memory system, a parallel-computing system, etc.) may be configured to perform the steps of one or more of these processes . [ 0036 ] Turning first to FIG. 3, a flowchart of illustrative process 300 is shown for timing power- intensive operations amongst multiple subsystems using a time division multiplexing scheme. Process 300 may begin at step 302. Then, at step 304, the clocks of each subsystem may be synchronized. The clocks may be synchronized using any suitable approach, such as feeding the same clock (i.e., clock signals derived from the same source clock) to each of the subsystems or using a controller to synchronize each subsystem's internal clock.
[ 0037 ] Then, at step 306, time may be divided into multiple time slots. The number of time slots may be based on the number of subsystems, such as providing one time slot per subsystem, one time slot per two subsystems, etc. The time slots may be of any suitable length, such as N clock cycles in length, where N can be any suitable positive integer. For example, if there are four subsystems, step 306 may involve creating and rotating between four time slots of N clock cycles each.
[ 0038 ] Continuing to step 308, each subsystem may be assigned to one of the time slots. During the time slot assigned to a particular subsystem, the subsystem may perform any power- intensive operations, such as program operations in flash memory systems. During a time slot not assigned to a particular subsystem, the subsystem may hold off on performing power- intensive operations, and may instead stall until its assigned time slot begins and/or perform non-power- intensive operations in the meantime. In some embodiments, each subsystem may be assigned to a different one of the time slots so that only one subsystem may perform power- intensive operations at any given time. In other embodiments, more than one (but less than all) of the subsystems may be assigned to the same time slot. By using this time division multiplexing scheme, the peak power may be limited, as this scheme may ensure that power- intensive operations are staggered.
[ 0039 ] Process 300 may continue to step 310 and end. In other embodiments, process 300 may return to step 302 after a suitable amount of time in embodiments where the subsystems' clocks may need to be
periodically adjusted to remain in synchronization.
[ 0040 ] Turning now to FIG. 4, a flowchart of an illustrative process is shown for synchronizing power- intensive operations amongst multiple subsystems using requests to a controller. Process 400 may begin at step 402. Then, at step 404, one of the subsystems in the system (referred to as the first subsystem in FIG. 4) may decide to initiate a power-intensive operation. For example, in a flash memory system, the next queued operation for one of the flash dies may be a power-intensive operation, such as a sensing
operation to read data (e.g., within a read-verify operation) .
[ 0041 ] At step 406, the subsystem may provide a request to the controller of the system (e.g., a NVM driver or controller for non-volatile memory systems) to initiate the power-intensive operation. For example, the subsystem may request permission from the controller to perform the power- intensive operation via a physical communications link dedicated to this purpose, by issuing an appropriate command via a suitable communications protocol or interface, or using any other suitable approach. [ 0042 ] The controller may then, at step 408, determine whether one or more other subsystems are performing power-intensive operations. In some embodiments, the controller may make this determination by verifying whether the controller has already granted permission to perform a power-intensive operation to more than a predetermined number (e.g., one, two, etc.) of other subsystems and that these operations are not yet complete. At step 410, the controller may decide whether to allow the subsystem to perform the power- intensive operation. In some embodiments, the
controller may not allow the operation if a
predetermined number of other systems are currently performing power-intensive operations, and may allow the operation otherwise.
[ 0043 ] In some embodiments, the determination at step 408 may further include determining the expected combined peak current of the one or more other
subsystems performing power- intensive operations. This way, at step 410, instead of allowing (or not allowing) an operation to proceed based on the number of other subsystems performing power- intensive operations, the controller can make this determination based on expected current usage. The controller may, for example, decide to allow an operation if there are several subsystems performing less power-consuming power- intensive operations, but may decide not to allow the operation if there are fewer subsystems (e.g., one other subsystem) performing more power-consuming power- intensive operations.
[ 0044 ] If, at step 410, the controller determines that the operation should not be allowed, process 400 may move to step 412, and a signal may be provided, from the controller to the subsystem, to wait on performing the power-intensive operation. The signal may be given in any suitable form, such as a signal on a dedicated physical line, as an appropriate command using a suitable protocol or interface, etc. This way, the subsystem can be instructed to hold off on
performing the operation, and may instead stall further operations or perform other non-power- intensive operations in the meantime. This may ensure that not too many subsystems are performing power- intensive operations at the same time, or that the peak current of the overall system does not increase beyond a certain point. Process 400 may then return to step 410 to again determine whether the power- intensive
operation can be allowed by the controller (e.g., whether one or more subsystems have finished performing power- intensive operations) .
[ 0045 ] If, at step 410, the controller determines that the power-intensive operation should be allowed, process 400 may move to step 414. At step 414, permission may be provided, from the controller to the subsystem, to proceed with the power-intensive
operation. The permission may be provided, for example, as a signal on a dedicated physical line, as an appropriate command using a suitable protocol or interface, or using any other suitable approach. Then, at step 416, the power- intensive operation may be performed by the subsystem. When the subsystem is finished performing the power-intensive operation, the subsystem may indicate the completion of the power- intensive operation to the controller at step 418. The indication may be an express indication to the
controller or the controller can infer the completion of the power- intensive operation when the subsystem provides a result of the operation (e.g., for a flash memory system, any resulting data from a read
operation) . This way, the controller may be able to grant permission to another subsystem to perform a power-intensive operation.
[ 0046 ] Process 400 may then end at step 420.
[ 0047 ] Turning now to FIG. 5, a flowchart of illustrative process 500 is shown for managing power- intensive operations amongst multiple subsystems (e.g., flash dies) by providing, to a subsystem, power status information of the system. Process 500 may begin at step 502. At step 504, the number of subsystems performing power-intensive operations may be determined by, for example, a controller that can control the subsystems. For example, using any of the techniques discussed above, the subsystems may each be configured to signal to the controller when the subsystem begins or ends a power-intensive operation. This way, the controller can keep track of the number of subsystems performing power-intensive operations at any given time .
[ 0048 ] Then, at step 506, an indication of the number of subsystems performing power- intensive operations may be provided from the controller to one or more of the subsystems. The indication may be provided to all of the subsystems in the system or to all of the subsystems performing power-intensive operations. The indication may be provided at any suitable time or responsive to any suitable stimulus, such as in response to receiving an indication from a subsystem that the subsystem is about to begin
performing a power- intensive operation. This way, when the subsystem sets up the power- intensive operation, the subsystem may be informed of how many other subsystems are also performing power- intensive
operations .
[ 0049 ] Process 500 may then continue to step 506. At step 506, operations may be performed at the subsystem based on the number of subsystems performing power- intensive operations. Often, when performing an operation, a subsystem may trade off speed and power (i.e., the subsystem may perform the operation at high speed at the cost of increasing power consumption, or the subsystem may perform the operation at low power at the cost of the operation taking a longer time to complete) . For example, a subsystem can increase speed at the cost of power by parallelizing computations instead of serializing them, or by charging a charge pump at a higher rate. Thus, if at step 506, the subsystem receives an indication that it is the only subsystem performing a power- intensive operation, the subsystem may use a higher/highest-speed,
higher/highest -power scheme. The greater the number of subsystems performing power- intensive operations, the less power a particular subsystem may decide to use. Even if a subsystem decides to use a slower, lower power scheme, the overall speed of the system may be improved, as more subsystems may be able to operate at the same time than would otherwise be possible had each subsystem operated in a higher-power mode.
[ 0050 ] Process 500 may then end at step 510.
[ 0051 ] It should be understood that processes 300,
400, and 500 of FIGS. 3-5 are merely illustrative. Any of the steps may be removed, modified, or combined, and any additional steps may be added, without departing from the scope of the invention.
[0052] The described embodiments of the invention are presented for the purpose of illustration and not of limitation.

Claims

What is Claimed is :
1. A flash memory system, comprising:
a plurality of flash dies; and
a controller for controlling the plurality of flash dies, wherein the controller is configured to permit at most a predetermined number of the flash dies to perform power- intensive operations at substantially the same time.
2. The flash memory system of claim 1, wherein the power- intensive operations comprise sensing operations .
3. The flash memory system of claim 1, wherein the flash memory system comprises a managed non-volatile memory package, wherein the managed nonvolatile memory package comprises the plurality of flash dies and the controller.
4. The flash memory system of claim 1, wherein the flash memory system comprises a raw nonvolatile memory system, and wherein the controller comprises a host processor.
5. A method of managing peak power consumption in a non-volatile memory system, the nonvolatile memory system comprising a plurality of memory subsystems, the method comprising:
synchronizing clocks of each of the memory subsystems;
dividing time into a plurality of time slots; and
assigning each of the memory subsystems a time slot for performing power- intensive operations.
6. The method of claim 5, wherein the synchronizing comprises feeding each of the memory systems a clock signal derived from the same clock source .
7. The method of claim 5, wherein each of the memory subsystems comprises an internal clock, and wherein the synchronizing comprises synchronizing the internal clock of each of the memory subsystems.
8. The method of claim 5, wherein the dividing comprises creating a number of time slots based on the number of memory subsystems, and wherein the time slots continuously repeat.
9. The method of claim 5, further comprising :
deciding, at one of the memory
subsystems, to perform a power- intensive operation;
determining whether the one of the memory subsystems is assigned to a current time slot; and
performing the power- intensive operation based on whether the one of the memory subsystems is assigned to the current time slot.
10. The method of claim 5, wherein the nonvolatile memory system is a NAND flash memory system.
11. A method of controlling a plurality of memory subsystems in a memory system using a
controller, the method comprising:
deciding, at a first one of the memory subsystems, to initiate a power- intensive operation, wherein the power- intensive operation comprises one of a read, program, and erase operation;
requesting permission from the
controller to start the power-intensive operation;
determining, at the controller, whether another one of the memory subsystems is performing a power-intensive operation;
choosing whether to grant permission to the first subsystem based on the determining; and
providing a result of the determining to the first subsystem.
12. The method of claim 11, wherein the memory system comprises a flash memory system and the memory subsystems comprise flash dies.
13. The method of claim 11, wherein the choosing comprises deciding to grant permission when fewer than a predetermined number of the subsystems are already performing power- intensive operations.
14. The method of claim 11, the method further comprising:
determining a combined current usage of the subsystems that are already performing power- intensive operations, wherein
the choosing is performed based on the combined current usage .
15. The method of claim 11, the method further comprising:
in response to receiving permission to start the power-intensive operation at the first subsystem, performing the power- intensive operation; and indicating to the controller when the power-intensive operation of the first subsystem is complete .
16. The method of claim 11, wherein the power-intensive operation is a first power- intensive operation, the method further comprising:
deciding, at a second one of the subsystems, to initiate a second power-intensive operation;
requesting permission from the
controller to start the second power- intensive
operation;
determining, at the controller, that the first power-intensive operation has not completed; and deciding not to grant permission to the second subsystem to start the second power- intensive operation .
17. The method of claim 16, the method further comprising:
receiving, at the controller from the first subsystem, that the first subsystem has completed the first power- intensive operation; and
granting permission to the second subsystem to begin the second power- intensive
operation .
18. A system comprising:
a plurality of subsystems; and
a controller for controlling the subsystems, wherein the controller is configured to:
determine which of the subsystems are performing power-intensive operations; and provide, to at least one of the subsystems, an indication of the number of the
subsystems performing power- intensive operations.
19. The system of claim 18, wherein the at least one subsystem is configured to perform operations based on the number.
20. The system of claim 18, wherein the at least one subsystem is further configured to set up the operations to trade off higher speed, higher power operations for lower speed, lower power operations based on the number.
21. The system of claim 18, wherein the system comprises a flash memory system and the
subsystems comprise flash dies.
PCT/US2011/020801 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes WO2011085357A2 (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
JP2012548225A JP2013516716A (en) 2010-01-11 2011-01-11 Control and discrepancy to limit current spikes
EP11700486A EP2524271A2 (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes
AU2011203893A AU2011203893B2 (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes
BR112012017020A BR112012017020A2 (en) 2010-01-11 2011-01-11 control and scaling operations to limit current surges
KR1020147021723A KR20140102771A (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes
CN2011800103089A CN102782607A (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes
MX2012008096A MX2012008096A (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes.

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US29406010P 2010-01-11 2010-01-11
US61/294,060 2010-01-11
US12/843,419 US20110173462A1 (en) 2010-01-11 2010-07-26 Controlling and staggering operations to limit current spikes
US12/843,419 2010-07-26

Publications (2)

Publication Number Publication Date
WO2011085357A2 true WO2011085357A2 (en) 2011-07-14
WO2011085357A3 WO2011085357A3 (en) 2011-09-01

Family

ID=44259439

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2011/020801 WO2011085357A2 (en) 2010-01-11 2011-01-11 Controlling and staggering operations to limit current spikes

Country Status (9)

Country Link
US (2) US20110173462A1 (en)
EP (1) EP2524271A2 (en)
JP (1) JP2013516716A (en)
KR (3) KR20120098968A (en)
CN (1) CN102782607A (en)
AU (2) AU2011203893B2 (en)
BR (1) BR112012017020A2 (en)
MX (1) MX2012008096A (en)
WO (1) WO2011085357A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9361951B2 (en) 2014-01-14 2016-06-07 Apple Inc. Statistical peak-current management in non-volatile memory devices

Families Citing this family (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011233114A (en) * 2010-04-30 2011-11-17 Toshiba Corp Memory system
US8826051B2 (en) 2010-07-26 2014-09-02 Apple Inc. Dynamic allocation of power budget to a system having non-volatile memory and a processor
US8555095B2 (en) 2010-07-26 2013-10-08 Apple Inc. Methods and systems for dynamically controlling operations in a non-volatile memory to limit power consumption
US9261940B2 (en) * 2011-02-25 2016-02-16 Samsung Electronics Co., Ltd. Memory system controlling peak current generation for a plurality of memories by monitoring a peak signal to synchronize an internal clock of each memory by a processor clock at different times
US20120221767A1 (en) 2011-02-28 2012-08-30 Apple Inc. Efficient buffering for a system having non-volatile memory
JP5713772B2 (en) * 2011-04-12 2015-05-07 株式会社東芝 Semiconductor memory system
US8645723B2 (en) 2011-05-11 2014-02-04 Apple Inc. Asynchronous management of access requests to control power consumption
US8400864B1 (en) * 2011-11-01 2013-03-19 Apple Inc. Mechanism for peak power management in a memory
EP3483771A1 (en) * 2011-12-30 2019-05-15 Intel Corporation Multi-level cpu high current protection
US9417685B2 (en) * 2013-01-07 2016-08-16 Micron Technology, Inc. Power management
CN105408833B (en) * 2013-03-13 2019-05-14 飞利浦灯具控股公司 System and method for energy reduction
US9477257B1 (en) * 2013-03-13 2016-10-25 Juniper Networks, Inc. Methods and apparatus for limiting a number of current changes while clock gating to manage power consumption of processor modules
US9368214B2 (en) 2013-10-03 2016-06-14 Apple Inc. Programmable peak-current control in non-volatile memory devices
US9293176B2 (en) 2014-02-18 2016-03-22 Micron Technology, Inc. Power management
US9343116B2 (en) * 2014-05-28 2016-05-17 Micron Technology, Inc. Providing power availability information to memory
EP2999113B1 (en) 2014-09-16 2019-08-07 Nxp B.V. Amplifier
US10013345B2 (en) * 2014-09-17 2018-07-03 Sandisk Technologies Llc Storage module and method for scheduling memory operations for peak-power management and balancing
US20160162215A1 (en) * 2014-12-08 2016-06-09 Sandisk Technologies Inc. Meta plane operations for a storage device
US9536617B2 (en) * 2015-04-03 2017-01-03 Sandisk Technologies Llc Ad hoc digital multi-die polling for peak ICC management
US9875049B2 (en) * 2015-08-24 2018-01-23 Sandisk Technologies Llc Memory system and method for reducing peak current consumption
US10120817B2 (en) * 2015-09-30 2018-11-06 Toshiba Memory Corporation Device and method for scheduling commands in a solid state drive to reduce peak power consumption levels
US10095412B2 (en) * 2015-11-12 2018-10-09 Sandisk Technologies Llc Memory system and method for improving write performance in a multi-die environment
KR102603245B1 (en) 2018-01-11 2023-11-16 에스케이하이닉스 주식회사 Memory system and operating method thereof
KR102615227B1 (en) 2018-02-01 2023-12-18 에스케이하이닉스 주식회사 Memory system and operating method thereof
KR20190109872A (en) 2018-03-19 2019-09-27 에스케이하이닉스 주식회사 Data storage device and operating method thereof
KR20200036627A (en) * 2018-09-28 2020-04-07 에스케이하이닉스 주식회사 Memory system and operating method thereof
US11079829B2 (en) 2019-07-12 2021-08-03 Micron Technology, Inc. Peak power management of dice in a power network
US11454941B2 (en) 2019-07-12 2022-09-27 Micron Technology, Inc. Peak power management of dice in a power network
US11442525B2 (en) * 2019-08-23 2022-09-13 Micron Technology, Inc. Power management
CN110739019A (en) * 2019-09-16 2020-01-31 长江存储科技有限责任公司 new memory devices and methods of operation
US11175837B2 (en) * 2020-03-16 2021-11-16 Micron Technology, Inc. Quantization of peak power for allocation to memory dice
US11256591B2 (en) 2020-06-03 2022-02-22 Western Digital Technologies, Inc. Die memory operation scheduling plan for power control in an integrated memory assembly
US11226772B1 (en) 2020-06-25 2022-01-18 Sandisk Technologies Llc Peak power reduction management in non-volatile storage by delaying start times operations
CN114625307A (en) 2020-12-14 2022-06-14 慧荣科技股份有限公司 Computer readable storage medium, and data reading method and device of flash memory chip
TWI747660B (en) * 2020-12-14 2021-11-21 慧榮科技股份有限公司 Method and apparatus and computer program product for reading data from multiple flash dies
US11373710B1 (en) 2021-02-02 2022-06-28 Sandisk Technologies Llc Time division peak power management for non-volatile storage
US20210313991A1 (en) * 2021-06-17 2021-10-07 Intel Corporation Circuit Systems And Methods For Reducing Power Supply Voltage Droop
US11508450B1 (en) 2021-06-18 2022-11-22 Western Digital Technologies, Inc. Dual time domain control for dynamic staggering
US12118219B2 (en) * 2022-09-06 2024-10-15 SanDisk Technologies, Inc. Asymmetric time division peak power management (TD-PPM) timing windows
US11893253B1 (en) 2022-09-20 2024-02-06 Western Digital Technologies, Inc. Dynamic TD-PPM state and die mapping in multi-NAND channels

Family Cites Families (46)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4939694A (en) * 1986-11-03 1990-07-03 Hewlett-Packard Company Defect tolerant self-testing self-repairing memory system
US5822256A (en) * 1994-09-06 1998-10-13 Intel Corporation Method and circuitry for usage of partially functional nonvolatile memory
US5724592A (en) * 1995-03-31 1998-03-03 Intel Corporation Method and apparatus for managing active power consumption in a microprocessor controlled storage device
JPH11242632A (en) * 1998-02-26 1999-09-07 Hitachi Ltd Memory device
US6233693B1 (en) * 1998-05-06 2001-05-15 International Business Machines Corporation Smart DASD spin-up
US6748493B1 (en) * 1998-11-30 2004-06-08 International Business Machines Corporation Method and apparatus for managing memory operations in a data processing system using a store buffer
US6478441B2 (en) * 1999-03-25 2002-11-12 Sky City International Limited Hand held light apparatus
US6748441B1 (en) * 1999-12-02 2004-06-08 Microsoft Corporation Data carousel receiving and caching
JP4694040B2 (en) * 2001-05-29 2011-06-01 ルネサスエレクトロニクス株式会社 Semiconductor memory device
JP4841070B2 (en) * 2001-07-24 2011-12-21 パナソニック株式会社 Storage device
US6643169B2 (en) * 2001-09-18 2003-11-04 Intel Corporation Variable level memory
US6925573B2 (en) * 2002-01-02 2005-08-02 Intel Corporation Method and apparatus to manage use of system power within a given specification
US6857055B2 (en) * 2002-08-15 2005-02-15 Micron Technology Inc. Programmable embedded DRAM current monitor
US7210004B2 (en) * 2003-06-26 2007-04-24 Copan Systems Method and system for background processing of data in a storage system
US7441133B2 (en) * 2002-10-15 2008-10-21 Microsemi Corp. - Analog Mixed Signal Group Ltd. Rack level power management for power over Ethernet
US7400062B2 (en) * 2002-10-15 2008-07-15 Microsemi Corp. - Analog Mixed Signal Group Ltd. Rack level power management
US6865107B2 (en) * 2003-06-23 2005-03-08 Hewlett-Packard Development Company, L.P. Magnetic memory device
US20050210304A1 (en) * 2003-06-26 2005-09-22 Copan Systems Method and apparatus for power-efficient high-capacity scalable storage system
US7155623B2 (en) * 2003-12-03 2006-12-26 International Business Machines Corporation Method and system for power management including local bounding of device group power consumption
WO2005109154A2 (en) * 2004-05-10 2005-11-17 Powerdsine, Ltd. Method for rapid port power reduction
US7353407B2 (en) * 2004-05-20 2008-04-01 Cisco Technology, Inc. Methods and apparatus for provisioning phantom power to remote devices
US7418608B2 (en) * 2004-06-17 2008-08-26 Intel Corporation Method and an apparatus for managing power consumption of a server
US7899480B2 (en) * 2004-09-09 2011-03-01 Qualcomm Incorporated Apparatus, system, and method for managing transmission power in a wireless communication system
US7305572B1 (en) * 2004-09-27 2007-12-04 Emc Corporation Disk drive input sequencing for staggered drive spin-up
JP2006185407A (en) * 2004-12-01 2006-07-13 Matsushita Electric Ind Co Ltd Peak power-controlling apparatus and method
JP2006195569A (en) * 2005-01-11 2006-07-27 Sony Corp Memory unit
US7285079B2 (en) * 2005-03-16 2007-10-23 Steven T. Mandell Exercise device and methods
US7440215B1 (en) * 2005-03-30 2008-10-21 Emc Corporation Managing disk drive spin up
US7539882B2 (en) * 2005-05-30 2009-05-26 Rambus Inc. Self-powered devices and methods
US7444526B2 (en) * 2005-06-16 2008-10-28 International Business Machines Corporation Performance conserving method for reducing power consumption in a server system
US7647516B2 (en) * 2005-09-22 2010-01-12 Hewlett-Packard Development Company, L.P. Power consumption management among compute nodes
US20070211551A1 (en) * 2005-11-25 2007-09-13 Yoav Yogev Method for dynamic performance optimization conforming to a dynamic maximum current level
US7681054B2 (en) * 2006-10-03 2010-03-16 International Business Machines Corporation Processing performance improvement using activity factor headroom
US7793126B2 (en) * 2007-01-19 2010-09-07 Microsoft Corporation Using priorities and power usage to allocate power budget
JP4851962B2 (en) * 2007-02-28 2012-01-11 株式会社東芝 Memory system
US8046600B2 (en) * 2007-10-29 2011-10-25 Microsoft Corporation Collaborative power sharing between computing devices
US7961544B2 (en) * 2008-08-05 2011-06-14 Sandisk Il Ltd. Storage system and method for managing a plurality of storage devices
JP5489434B2 (en) * 2008-08-25 2014-05-14 株式会社日立製作所 Storage device with flash memory
US8386808B2 (en) * 2008-12-22 2013-02-26 Intel Corporation Adaptive power budget allocation between multiple components in a computing system
US20100162024A1 (en) * 2008-12-24 2010-06-24 Benjamin Kuris Enabling a Charge Limited Device to Operate for a Desired Period of Time
KR101005997B1 (en) * 2009-01-29 2011-01-05 주식회사 하이닉스반도체 Non volatile memory device and operating method thereof
US8307258B2 (en) * 2009-05-18 2012-11-06 Fusion-10, Inc Apparatus, system, and method for reconfiguring an array to operate with less storage elements
US8281227B2 (en) * 2009-05-18 2012-10-02 Fusion-10, Inc. Apparatus, system, and method to increase data integrity in a redundant storage system
US8627117B2 (en) * 2009-06-26 2014-01-07 Seagate Technology Llc Device with power control feature involving backup power reservoir circuit
JP5187776B2 (en) * 2010-04-13 2013-04-24 日本電気株式会社 Electrical equipment
US8826051B2 (en) * 2010-07-26 2014-09-02 Apple Inc. Dynamic allocation of power budget to a system having non-volatile memory and a processor

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
None

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9361951B2 (en) 2014-01-14 2016-06-07 Apple Inc. Statistical peak-current management in non-volatile memory devices

Also Published As

Publication number Publication date
KR20120116976A (en) 2012-10-23
AU2014202877A1 (en) 2014-06-19
US20110173462A1 (en) 2011-07-14
AU2011203893A1 (en) 2012-08-09
US20140112079A1 (en) 2014-04-24
KR20140102771A (en) 2014-08-22
WO2011085357A3 (en) 2011-09-01
BR112012017020A2 (en) 2016-04-05
AU2011203893B2 (en) 2014-12-11
JP2013516716A (en) 2013-05-13
CN102782607A (en) 2012-11-14
KR20120098968A (en) 2012-09-05
EP2524271A2 (en) 2012-11-21
MX2012008096A (en) 2012-12-17

Similar Documents

Publication Publication Date Title
AU2011203893B2 (en) Controlling and staggering operations to limit current spikes
US11216323B2 (en) Solid state memory system with low power error correction mechanism and method of operation thereof
US9575677B2 (en) Storage system power management using controlled execution of pending memory commands
US10359822B2 (en) System and method for controlling power consumption
TWI598882B (en) Dynamic allocation of power budget for a system having non-volatile memory
US10241701B2 (en) Solid state memory system with power management mechanism and method of operation thereof
EP3872641A2 (en) Storage device and method of operating the storage device
CN108932175B (en) Control method of solid state storage device
WO2009046115A1 (en) Flash memory controller
CN111382097A (en) Arbitration techniques for managed memory
WO2017078698A1 (en) Throttling components of a storage device
CN116368569A (en) Adaptive sleep transition technique
US20210303184A1 (en) Centralized power management in memory devices
US12086428B2 (en) Memory controller adjusting power, memory system including same, and operating method for memory system
AU2014100558B4 (en) Controlling and staggering operations to limit current spikes
CN113168373B (en) Power-on time based data relocation
WO2016064554A1 (en) Storage system power management using controlled execution of pending memory commands

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 201180010308.9

Country of ref document: CN

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 11700486

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2012548225

Country of ref document: JP

Ref document number: MX/A/2012/008096

Country of ref document: MX

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 2011203893

Country of ref document: AU

WWE Wipo information: entry into national phase

Ref document number: 6361/CHENP/2012

Country of ref document: IN

WWE Wipo information: entry into national phase

Ref document number: 2011700486

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2011203893

Country of ref document: AU

Date of ref document: 20110111

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 20127021161

Country of ref document: KR

Kind code of ref document: A

REG Reference to national code

Ref country code: BR

Ref legal event code: B01A

Ref document number: 112012017020

Country of ref document: BR

ENP Entry into the national phase

Ref document number: 112012017020

Country of ref document: BR

Kind code of ref document: A2

Effective date: 20120710