CN109753338A - The detection method and device of virtual GPU utilization rate - Google Patents
The detection method and device of virtual GPU utilization rate Download PDFInfo
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Abstract
The invention discloses the detection methods and device of virtual GPU utilization rate, by the way that a register is arranged in each virtual GPU, when each virtual GPU is called, the load computing engines of GPU count the utilization rate for recording virtual GPU since preset count threshold, and when the virtual GPU is switched to other virtual GPU, the utilization rate of the virtual GPU of record is write to the average service rate for being used to update the virtual GPU in corresponding register, to obtain the average service rate of the virtual GPU from register and be presented to the user within each load monitoring period.Therefore, the case where monitoring of the load utilization rate to each virtual GPU may be implemented in technical solution of the present invention, and can intuitively be presented to the user, and knows the utilization rate of oneself program to bought GPU so as to user.
Description
Technical field
The present invention relates to computer virtualized technology field more particularly to a kind of detection method of virtual GPU utilization rate and
Device.
Background technique
At the existing figure based on server virtualization (Single-Root I/O Virtualization, SRIOV)
Device (Graphic Processing Unit, GPU) fragment virtualization technology is managed, the data of the load factor of GPU are acquired, only
It can be the loading condition that the granularity based on entire physics GPU monitors entire physics GPU, have no idea to monitor each on physics GPU
A respective loading condition of virtual GPU.However a physics GPU is usually virtualized into multiple virtual GPU to different users
It uses, the case where user has no idea to know the utilization rate of oneself program to bought GPU, can not just be further understood that
The whether optimal business demand for agreeing with them of the GPU ability that they are bought.
Summary of the invention
To solve the above-mentioned problems, the present invention provides the detection method and device of a kind of virtual GPU utilization rate, can be quick
The easily respective workload situation of each virtual GPU of detection.
The present invention provides a kind of detection method of virtual GPU utilization rate, comprising:
When monitoring that any virtual GPU is scheduled, load computing engines start counting described from preset count threshold
The utilization rate of virtual GPU；
When monitoring to be switched to other virtual GPU from the virtual GPU, load computing engines stop the virtual GPU
Utilization rate counting；
The utilization rate of virtual GPU described in corresponding register is updated according to the count value of the utilization rate of the virtual GPU,
Wherein, the register is the register of the virtual GPU.
Optionally, virtual GPU described in corresponding register is updated according to the count value of the utilization rate of the virtual GPU
After utilization rate, comprising:
Set the count threshold for the count value for loading computing engines, from the count threshold start counting it is described its
The utilization rate of his virtual GPU.
Optionally, virtual GPU described in corresponding register is updated according to the count value of the utilization rate of the virtual GPU
Utilization rate, comprising:
It was protected according to last time in the count value of the utilization rate of the virtual GPU in the register currently updated and register
The average service rate of the virtual GPU deposited is averaged the newest average service rate as the virtual GPU.
Optionally, the method further include:
Newest average service rate in the register of the virtual GPU is read, the void is determined according to newest average service rate
The load factor of quasi- GPU.
Optionally, the method further include:
Read in the register of the virtual GPU after newest average service rate, by the register of the virtual GPU most
New average service rate is set as the count threshold.
The application further includes a kind of detection device of virtual GPU utilization rate, comprising:
Computing engines are loaded, for being started counting from preset count threshold when monitoring that any virtual GPU is scheduled
The utilization rate of the virtual GPU；
The load computing engines are also used to when monitoring to be switched to other virtual GPU from the virtual GPU, are stopped
The counting of the utilization rate of the virtual GPU；
Register, it is virtual described in corresponding register for being updated according to the count value of the utilization rate of the virtual GPU
The utilization rate of GPU, wherein the register is the register of the virtual GPU.
Optionally, the load computing engines are also used to update correspondence according to the count value of the utilization rate of the virtual GPU
Register described in virtual GPU utilization rate after, set the count threshold for the count value for loading computing engines, from
The count threshold starts counting the utilization rate of other virtual GPU.
Optionally, the register, specifically for making according to the virtual GPU in the register currently updated
With the average service rate for the virtual GPU that last time in the count value of rate and the register saves, it is averaged as described
The newest average service rate of virtual GPU.
Optionally, the device further include:
Read module, newest average service rate in the register for reading the virtual GPU, according to newest average use
Rate determines the load factor of the virtual GPU.
Optionally, the device further include:
Reset module, in the register that the read module reads the virtual GPU newest average service rate it
Afterwards, the count threshold is set by newest average service rate in the register of the virtual GPU.
The embodiment of the present invention in each virtual GPU by being arranged a register, when each virtual GPU is called,
The load computing engines of GPU count the utilization rate for recording virtual GPU since 0, and are switched to other virtual GPU in the virtual GPU
When, the utilization rate of the virtual GPU of record is write to the average use for being used to update the virtual GPU in corresponding register
Rate, to can obtain the average service rate of the virtual GPU from register within each load monitoring period and be presented to use
Family.Therefore, the monitoring of the load utilization rate to each virtual GPU may be implemented in technical solution of the present invention, and can be intuitively
The case where being presented to the user, knowing the utilization rate of oneself program to bought GPU so as to user.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the detection method for the virtual GPU utilization rate that one embodiment of the invention provides；
Fig. 2 is a kind of detection system structure of virtual GPU utilization rate provided in an embodiment of the present invention；
Fig. 3 is the structure of the detecting device schematic diagram for the virtual GPU utilization rate that one embodiment of the invention provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
The term used in embodiments of the present invention is only to be not intended to be limiting merely for for the purpose of describing particular embodiments
The present invention.In the embodiment of the present invention and the "an" of singular used in the attached claims, " described " and "the"
It is also intended to including most forms, unless the context clearly indicates other meaning, " a variety of " generally comprise at least two, but not
It excludes to include at least one situation.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, indicate
There may be three kinds of relationships, for example, A and/or B, can indicate: individualism A, exist simultaneously A and B, individualism B these three
Situation.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Include, so that commodity or system including a series of elements not only include those elements, but also including not clear
The other element listed, or further include for this commodity or the intrinsic element of system.In the feelings not limited more
Under condition, the element that is limited by sentence "including a ...", it is not excluded that in the commodity or system for including the element also
There are other identical elements.
Graphics processor (English: Graphics Processing Unit, abbreviation: GPU) virtualization technology: refer to one
The resource of block physics GPU carries out virtual fragment, while supplying the technology that one or more virtual machines use, referred to herein as GPU
A pair of of multiple virtualization techniques.The virtual fragment of each GPU is referred to as a virtual GPU.
Fig. 1 is the flow diagram of the detection method for the virtual GPU utilization rate that one embodiment of the invention provides, such as Fig. 1 institute
Show,
101, when monitoring that any virtual GPU is scheduled, load computing engines are started counting from preset count threshold
The utilization rate of the virtual GPU；
In the embodiment of the present invention, preset count threshold for example can be set to 0, i.e., ought monitor that any virtual GPU is adjusted
When spending, the utilization rate that computing engines start counting the virtual GPU from 0 is loaded.
102, when monitoring to be switched to other virtual GPU from the virtual GPU, load computing engines stop described virtual
The counting of the utilization rate of GPU；
103, making for virtual GPU described in corresponding register is updated according to the count value of the utilization rate of the virtual GPU
With rate.
Wherein, in the embodiment of the present invention, each virtual GPU is corresponding with a register, and therefore, the register is described
The register of virtual GPU.
Wherein, it in the embodiment of the present invention, is updated in corresponding register according to the count value of the utilization rate of the virtual GPU
After the utilization rate of the virtual GPU, the count threshold is set by the count value for loading computing engines, from the counting threshold
Value starts counting the utilization rate of other virtual GPU；If preset count threshold is set as 0, computing engines can will be loaded
Count value clear 0, the utilization rate for starting counting other virtual GPU from 0.
Wherein, it in the embodiment of the present invention, is updated in corresponding register according to the count value of the utilization rate of the virtual GPU
The utilization rate of the virtual GPU, comprising:
It was protected according to last time in the count value of the utilization rate of the virtual GPU in the register currently updated and register
The average service rate of the virtual GPU deposited is averaged the newest average service rate as the virtual GPU.
In the embodiment of the present invention, after step 103, further includes:
104, newest average service rate in the register of the virtual GPU is read, is worked as according to the determination of newest average service rate
The load factor of the preceding virtual GPU.
In the embodiment of the present invention, in the embodiment of the present invention, after step 104, further includes:
105, it reads in the register of the virtual GPU after newest average service rate, by the register of the virtual GPU
In newest average service rate be set as the count threshold, so as within next load monitoring period to the virtual GPU's
Newest average service rate is calculated.
Fig. 2 is a kind of detection system structure of virtual GPU utilization rate provided in an embodiment of the present invention, such as Fig. 2 institute
Show, increases a register in each virtual GPU (virtual fragment as described in Figure 2), for recording each virtual fragment
Utilization rate when called.As shown in Figure 2, due to load computing engines only one, be by each virtual fragment according to the time
The mode of piece rotation is shared to be used.
Based on system architecture shown in Fig. 2, in the embodiment of the present invention, the testing process of virtual GPU utilization rate is implemented
It is as follows:
According to round-robin, such as when virtual fragment 1 is called, counted since 0 according to load computing engines
Number, records the utilization rate of virtual fragment 1.
It is switched to virtual fragment 2 when virtual fragment switches, such as from virtual fragment 1, in the process of switching
In, the utilization rate for loading the virtual fragment 1 of computing engines record is written to the register of virtual fragment 1, for updating deposit
The newest average service rate of virtual fragment 1 in device, wherein the calculation of newest average service rate are as follows: (virtual fragment 1 is posted
The count value of storage+load computing engines count value)/2, wherein the count value of the register of virtual fragment 1 refers to register
The average service rate for the virtual fragment 1 that middle last time saves, the count value for loading computing engines refer to the virtual fragment 1 of current record
Utilization rate.It is noted herein that the register of virtual fragment 1 is when virtual fragment 1 is switched away each time
All be updated to newest average service rate, until in the register for reading virtual fragment 1 by external load monitoring program most
Ability clear 0 after new average service rate.The register of any one virtual fragment x is updated, similarly.
After having updated the newest average service rate in the register of virtual fragment 1, computing engines clear 0 will be loaded, at this time may be used
With the utilization rate of the virtual fragment 2 of start recording.
Load monitoring program outside GPU, the register read according to preset load monitoring frequency from virtual fragment are empty
The quasi- newest average service rate of fragment, what needs to be explained here is that, in general, load monitoring frequency is much smaller than above-mentioned to virtual fragment
Therefore the renewal frequency of newest average service rate in register was saved from the register read of virtual fragment virtual fragment last time
Average service rate, the register of virtual fragment is after reading by clear 0.
Load monitoring program outside GPU converts the count value of the register of the virtual fragment of reading according to canonical algorithm
It at the load factor of virtual fragment, and is presented to the user, so that user knows oneself program to the feelings of the utilization rate of bought GPU
Condition, wherein the count value that canonical algorithm can be any register by virtual fragment in the prior art is converted into virtual fragment
Load factor algorithm, this is not limited by the present invention.
The embodiment of the present invention in each virtual GPU by being arranged a register, when each virtual GPU is called,
The load computing engines of GPU count the utilization rate for recording virtual GPU since 0, and are switched to other virtual GPU in the virtual GPU
When, the utilization rate of the virtual GPU of record is write to the average use for being used to update the virtual GPU in corresponding register
Rate, to can obtain the average service rate of the virtual GPU from register within each load monitoring period and be presented to use
Family.Therefore, the monitoring of the load utilization rate to each virtual GPU may be implemented in technical solution of the present invention, and can be intuitively
The case where being presented to the user, knowing the utilization rate of oneself program to bought GPU so as to user.
Fig. 3 is the structure of the detecting device schematic diagram for the virtual GPU utilization rate that one embodiment of the invention provides, as shown in figure 3,
Include:
Computing engines are loaded, for being started counting from preset count threshold when monitoring that any virtual GPU is scheduled
The utilization rate of the virtual GPU；
The load computing engines are also used to when monitoring to be switched to other virtual GPU from the virtual GPU, are stopped
The counting of the utilization rate of the virtual GPU；
Register, it is virtual described in corresponding register for being updated according to the count value of the utilization rate of the virtual GPU
The utilization rate of GPU, wherein the register is the register of the virtual GPU.
Optionally, the load computing engines are also used to update correspondence according to the count value of the utilization rate of the virtual GPU
Register described in virtual GPU utilization rate after, set the count threshold for the count value for loading computing engines, from
The count threshold starts counting the utilization rate of other virtual GPU.
Optionally, the register, specifically for making according to the virtual GPU in the register currently updated
With the average service rate for the virtual GPU that last time in the count value of rate and the register saves, it is averaged as described
The newest average service rate of virtual GPU.
Optionally, the device further include:
Read module, newest average service rate in the register for reading the virtual GPU, according to newest average use
Rate determines the load factor of the virtual GPU.
Optionally, the device further include:
Reset module, in the register that the read module reads the virtual GPU newest average service rate it
Afterwards, the count threshold is set by newest average service rate in the register of the virtual GPU, to supervise in next load
The newest average service rate of the virtual GPU is calculated in the control period.
Device described in the embodiment of the present invention can be in method shown in above-described embodiment, and implementing principle and technical effect are not
It repeats again.
In the embodiment of the present invention, in the structure of the detection device of above-mentioned virtual GPU utilization rate include processor and memory,
The memory, which is used to store virtual GPU in the above-mentioned embodiment illustrated in fig. 1 of the detection device for supporting virtual GPU utilization rate execution, to be made
With the program of the detection method of rate, the processor is configured to for executing the program stored in the memory.
Described program includes one or more computer instruction, wherein described in one or more computer instruction supplies
Processor, which calls, to be executed.
The embodiment of the invention also provides a kind of computer storage mediums, and the detection for storing virtual GPU utilization rate fills
Computer software instructions used are set, the computer software instructions contain the inspection for executing above-mentioned virtual GPU utilization rate
Survey method is program involved in the detection device of virtual GPU utilization rate.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of detection method of virtual GPU utilization rate characterized by comprising
When monitoring that any virtual GPU is scheduled, load computing engines start counting described virtual from preset count threshold
The utilization rate of GPU；
When monitoring to be switched to other virtual GPU from the virtual GPU, load computing engines stop making for the virtual GPU
With the counting of rate；
The utilization rate of virtual GPU described in corresponding register is updated according to the count value of the utilization rate of the virtual GPU,
In, the register is the register of the virtual GPU.
2. the method according to claim 1, wherein being updated according to the count value of the utilization rate of the virtual GPU
After the utilization rate of virtual GPU described in corresponding register, comprising:
The count threshold is set by the count value for loading computing engines, starts counting other described void from the count threshold
The utilization rate of quasi- GPU.
3. the method according to claim 1, wherein being updated according to the count value of the utilization rate of the virtual GPU
The utilization rate of virtual GPU described in corresponding register, comprising:
It was saved according to last time in the count value of the utilization rate of the virtual GPU in the register currently updated and register
The average service rate of the virtual GPU is averaged the newest average service rate as the virtual GPU.
4. the method according to claim 1, wherein further include:
Newest average service rate in the register of the virtual GPU is read, the virtual GPU is determined according to newest average service rate
Load factor.
5. according to the method described in claim 4, it is characterized by further comprising:
It reads in the register of the virtual GPU after newest average service rate, it will be newest flat in the register of the virtual GPU
Equal utilization rate is set as the count threshold.
6. a kind of detection device of virtual GPU utilization rate characterized by comprising
Computing engines are loaded, for starting counting from preset count threshold described when monitoring that any virtual GPU is scheduled
The utilization rate of virtual GPU；
The load computing engines are also used to when monitoring to be switched to other virtual GPU from the virtual GPU, described in stopping
The counting of the utilization rate of virtual GPU；
Register, for updating virtual GPU described in corresponding register according to the count value of the utilization rate of the virtual GPU
Utilization rate, wherein the register is the register of the virtual GPU.
7. device according to claim 6, it is characterised in that:
The load computing engines are also used to be updated in corresponding register according to the count value of the utilization rate of the virtual GPU
After the utilization rate of the virtual GPU, the count threshold is set by the count value for loading computing engines, from the counting threshold
Value starts counting the utilization rate of other virtual GPU.
8. device according to claim 6, it is characterised in that:
The register, the counting of the utilization rate of the virtual GPU in the register currently updated specifically for basis
The average service rate for the virtual GPU that last time saves in value and the register, is averaged as the virtual GPU's
Newest average service rate.
9. device according to claim 6, which is characterized in that further include:
Read module, newest average service rate in the register for reading the virtual GPU are true according to newest average service rate
The load factor of the fixed virtual GPU.
10. device according to claim 9, which is characterized in that further include:
Module is reseted, it, will after the newest average service rate in the register that the read module reads the virtual GPU
Newest average service rate is set as the count threshold in the register of the virtual GPU.
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