CN110442389A - A kind of shared method using GPU of more desktop environments - Google Patents
A kind of shared method using GPU of more desktop environments Download PDFInfo
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- CN110442389A CN110442389A CN201910724527.1A CN201910724527A CN110442389A CN 110442389 A CN110442389 A CN 110442389A CN 201910724527 A CN201910724527 A CN 201910724527A CN 110442389 A CN110442389 A CN 110442389A
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/4401—Bootstrapping
- G06F9/4406—Loading of operating system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
Abstract
A kind of shared framework using GPU of more desktop environments, including GPU hardware, system kernel, system desktop A, system desktop B, GPU client A and GPU client B；System kernel includes GPU drive module, GPU switching module, GPU virtual module A, GPU virtual module B, GPU client A is constituted by the desktop programs of android system and directly using the program of GPU rendering interface, GPU client B is constituted by the desktop programs of linux system and directly using the program of GPU rendering interface, GPU drive module and GPU hardware constitute GPU server-side, and GPU client A calls GPU hardware by the GPU drive module in system kernel；Desktop switch controller A is added in system desktop A, and desktop switch controller B, desktop switch controller A and desktop switch controller B difference control system desktop A or system desktop B is added as current desktop in system desktop B.
Description
Technical field
The sharing method of design configuration processing unit GPU (Graphics Processing Unit) of the present invention, especially
Based on multiple virtual GPU equipment, the method using local GPU is shared simultaneously in multiple desktop environments.
Background technique
Graphics processor (also known as shows core, vision processor, display chip), is one kind specially in PC, work
It stands, the microprocessor that image operation works in game machine and some mobile devices (such as tablet computer, smart phone).Purposes
It is that will show that information carries out conversion driving required for computer system, and provide row vision signal, control display to display
The correct display of device, be connect display and PC mainboard critical elements, and " human-computer dialogue " important equipment it
One.GPU undertakes the task of output display figure, for being engaged in professional figure as an important component in host computer
Video card is extremely important for the people of shape design.
However, existing operating system does not support multiple desktops to set simultaneously to GPU under normal office and Entertainment Scene
Standby access.Such as a desktop computer or notebook terminal with local GPU equipment, as shown in Figure 1, only starting a behaviour
Make under the price adjustment of system kernel, current GPU and its driver can not start the desktop and one an of android system simultaneously
The desktop of a linux system.Therefore, the invention proposes virtual GPU the scheme svGPU, svGPU of driving stage can be existing
On the basis of hardware GPU, by constructing virtual GPU equipment svGPU by software in operating system kernel layer face external drive program
It is used for different desktop environments, effect is similar to and is mounted with 2 pieces of identical GPU in a terminal, to reach same
Start the ability of multiple and different desktop environments on one terminal device.
GPU vitualization is in fictitious host computer, virtual server field using more.NVIDIA company is proposed the virtual side GPU
Case is cut physics GPU by NVIDIA bottom management software on demand, while distributing to multiple virtual machines and using, virtual machine
Used GPU is referred to as vGPU.The vGPU computing capability used in virtual machine is matched from what physics GPU was split
Volume, in rear end, powerful GPU greatly improves the Floating-point Computation of virtual machine with Parallel Computing Performance under supporting.The design of this technology
Original intention is to be applied primarily to virtual server, application to serve the high professional user for calculating trustship of progress for renting cloud host
Host server.User can select more vGPU according to their own needs to improve the calculating of the application service of oneself trustship speed
Degree.This technology is not what desktop user was developed from the beginning.
VDI (Virtual Desktop Infrastructure) technology is to be transferred to the video output of distal end virtual machine
On terminal screen, terminal is only responsible for the information of input and output distal end virtual machine, and internal principle is similar to remote desktop.All is remote
Journey desktop transport protocol has all carried out lossy compression to image, the frame of distal end virtual machine output by network transmission to terminal when scheme
As reduction actually has been carried out；Even if the vGPU on the virtual machine of rear end has rendered 32 rgb images of a 4K, by remote
Journey desktop transport protocol echo (terminal box receives after the data of ciphered compressed data convert into image) arrives terminal display
On seen by user's naked eyes when be compressed to carve product again in fact.Its in VDI cloud desktop in highly dense image procossing
Aspect GPU of its bottleneck also not in rear end that perform poor is insufficient, and the loss of network transmission and the deficiency of front-end capabilities.
International monopoly (US20180210840) APPARATUS AND METHOD FOR MANAGING A VIRTUAL
GRAPHICS PROCESSOR UNIT (VGPU) only provides the method that hardware does GPU vitualization, and this patent provides software
The method of GPU vitualization.Intel Company's patent (US20180060996) INTELLIGENT PROVISIONING OF
VIRTUAL GRAPHIC PROCESSING UNIT RESOURCES also proposed the concept of vGPU, but the patent towards
Scene is the problem of multiple physics GPU carry out task distribution and load balancing by virtual GPU.
Traditional Android desktop and Linux Desktop Share use GPU when, GPU server-side (including GPU driving and
GPU hardware), only support a kind of client, such as under the corresponding scene of Fig. 1, the application of the desktop and Android of Android
Program (Android App1, Android App2) can be used GPU server-side, but the desktop of Android and Android
Application program cannot be shared using GPU server-side with Linux desktop and its program (Linux program 1, Linux program 2), instead
.
In conclusion there are no in presently disclosed patent and document in multiple desktop environments while shared using local
The method of GPU.In single terminal, using the virtual GPU scheme svGPU of driving stage, allow multiple desktop environments simultaneously
It is shared to be solved the problems, such as using the local this field GPU engineers and technicians are highly desirable.
Summary of the invention
The technical problem to be solved in the present invention is that: in the case where for single computer terminal and an only GPU,
Using the virtual GPU scheme svGPU of driving stage, allow multiple desktop environments and meanwhile it is shared use local GPU, thus not changing substantially
Become under conditions of desktop environment, supports to run multiple desktops in an operating system nucleus.
To achieve the above object, the present invention provides following technical schemes:
A kind of shared framework using GPU of more desktop environments, including GPU hardware, system kernel, system desktop A
(android system desktop), system desktop B (linux system desktop), GPU client A and GPU client B；
System kernel includes GPU drive module (GPU Drv), GPU switching module (GPU Switch), GPU virtual module A
(Android svGPU1), GPU virtual module B (Linux svGPU2),
GPU client A by android system desktop programs and directly using GPU rendering interface program (such as 3D trip
Play) it constitutes,
GPU client B by linux system desktop programs and directly using GPU rendering interface program (such as 3D trip
Play) it constitutes,
GPU drive module and GPU hardware constitute GPU server-side, and GPU client A drives mould by the GPU in system kernel
Block calls GPU hardware；
Desktop switch controller A is added in system desktop A, and desktop switch controller B, desktop switching control is added in system desktop B
Device A and desktop switch controller B difference control system desktop A or system desktop B processed is as current desktop.
A kind of shared method using GPU of more desktop environments, includes the following steps:
Step 1 provides hardware platform；
Step 2, on a hardware platform adaption system A (Android) and system B (Ubuntu Linux), hardware platform point
Other independent startup system A and system B, and system A and system B enter desktop environment；
Step 3, system kernel addition GPU switching module, GPU virtual module A, GPU virtual module B in system B；
After step 4, activation system B, the activation system A in a new container (Container), and display system desktop
B；
After step 5, system A start completion, system desktop A and system desktop B, system desktop A and system desktop B points of modification
It Shi Yong not GPU virtual module A, GPU virtual module B；
Desktop switch controller A and desktop switch controller B is added in step 6 in system desktop A and system desktop B, leads to
It crosses desktop switch controller A and desktop switch controller B control GPU switching module and carries out desktop switching；
Step 7, by the desktop switch controller A in system desktop A, desktop is switched to system desktop B；
Step 8, by the desktop switch controller B in system desktop B, desktop is switched to system desktop A.
The beneficial effects of the present invention are:
In the case that 1. the present invention is for single computer terminal and an only GPU, using the virtual GPU of driving stage
Scheme svGPU, allow multiple desktop environments and meanwhile it is shared use local GPU, thus under conditions of not changing desktop environment substantially,
It supports to run multiple desktops in an operating system nucleus.
2. the software entity for using GPU to service is called GPU client by the present invention, desktop programs are typical GPU clients
End, the program for furthermore directly using the direct rendering interface of GPU is also client, such as 3D game of GPU etc..In the present invention
In, only indicate that desktop programs, the actually present invention also support other GPU client programs in attached drawing.
3. the GPU driving and physics GPU hardware in kernel in the present invention, are referred to as GPU server-side, in the present invention
In, do not need the realization of modification GPU server-side.
4. the process speed of switching display of the invention is very fast, counted through timing, switching time averagely less than 0.2 second,
It can accomplish 2 hot-swaps for not stopping desktop environment.To realize at one under conditions of not changing desktop environment substantially
The target of the multiple desktops of operation is supported in operating system nucleus.
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 only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is multiple Desktop Share GPU architecture figures in the prior art；
Fig. 2 is that multiple Desktop Shares of the invention use GPU mechanism realization figure；
Fig. 3 is the function call flow chart that multiple Desktop Shares of the invention use GPU；
Fig. 4 is the direct browsing process figure of physical memory of multiple Desktop Shares of the invention using the GPU hardware of GPU；
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
The software entity for using GPU to service is called GPU client by the present invention, and desktop programs are typical GPU clients,
Furthermore the program for directly using the direct rendering interface of GPU is also client, such as 3D game of GPU etc..In the present invention, attached
Only indicate that desktop programs, the actually present invention also support other GPU client programs in figure.
A kind of shared framework using GPU of more desktop environments, including GPU hardware, system kernel, system desktop A
(android system desktop), system desktop B (linux system desktop), GPU client A and GPU client B；
System kernel includes GPU drive module (GPU Drv), GPU switching module (GPU Switch), GPU virtual module A
(Android svGPU1), GPU virtual module B (Linux svGPU2),
GPU client A by android system desktop programs and directly using GPU rendering interface program (such as 3D trip
Play) it constitutes,
GPU client B by linux system desktop programs and directly using GPU rendering interface program (such as 3D trip
Play) it constitutes,
GPU drive module and GPU hardware constitute GPU server-side, and GPU client A drives mould by the GPU in system kernel
Block calls GPU hardware；
Desktop switch controller A is added in system desktop A, and desktop switch controller B, desktop switching control is added in system desktop B
Device A and desktop switch controller B difference control system desktop A or system desktop B processed is as current desktop.
GPU virtual module A and GPU virtual module B provides GPU interface, GPU virtual module A and GPU to GPU drive module
Virtual module B constitutes virtual GPU equipment, and it is GPU hard that system desktop A and system desktop B, which need not distinguish between used equipment,
Part or virtual GPU equipment；
It modifies system desktop A and the code segment for using GPU hardware is replaced with the code segment using GPU virtual module A,
System desktop A is run on GPU virtual module A；
It modifies system desktop B and the code segment for using GPU hardware is replaced with the code segment using GPU virtual module B,
System desktop B is run on GPU virtual module B；
GPU switching module provides the interface of GPU server-side, and the GPU client A and GPU client B on upper layer are used
GPU server-side asks summed data to be transmitted to GPU hardware, and desktop switch controller A and desktop switch controller B pass through control
GPU switching module switches using GPU hardware；
In the case where not supporting system desktop A and system desktop B shared using GPU, GPU client calls GPU hardware
There are two types of modes:
(3) function call；
GPU virtual module A and GPU virtual module B provides function call interface identical with GPU drive module and parameter,
The two semanteme is identical, and system desktop A needs to call ioctl interface (IOCTL_GPU_FUNC1 ...), this time calls and is just forwarded to
GPU virtual module A, GPU virtual module A calls svgpu_drv_func1 interface, and svgpu_drv_func1 interface turns request
Junior's GPU switching module is issued, GPU switching module calls gs_svgpu_drv_func1 interface to be handled, and final call is arrived
It is executed in the gpu_drv_func1 interface of GPU drive module, GPU drive module calls the gpu_func1 interface to GPU hardware
In；
(4) physical memory of GPU hardware directly accesses；
In order to reduce the modification expense of GPU client, the access for needing that function call and GPU physical memory is allowed directly to access
Interface does not change.
The physical memory of GPU hardware is directly accessed, guarantee the access mode of GPU client and does not share GPU hardware
The case where it is identical.The physical memory of GPU hardware directly accesses: reducing the expense of data transmission, GPU client is directly write data
Enter the video memory of GPU hardware, rather than write the data to memory, then data are transferred to from video memory by dma operation by GPU hardware
The access interface of memory, GPU hardware supports the consistent video memory read-write operation of data to guarantee each GPU in the allocated phase of video memory
The video memory of client distribution is not overlapped, and when multiple GPU clients use video memory simultaneously, needs to guarantee each
GPU client is all assigned to the suitable video memory of quantity, there can be no some GPU client occupy video memory it is excessive, and other visitor
The case where family end point is less than video memory.
A kind of shared method using GPU of more desktop environments, includes the following steps:
Step 1 provides hardware platform；
Wherein, hardware platform is the FT1500A desktop computer based on domestic processor, is configured as follows: CPU is at FT1500A
Reason device, the compatible Armv8 instruction set of processor, integrated 4 xiaomi processor cores (FTC660), core clock frequencies 1.5GHz,
L1 data Cache 32KB, L2Cache 2MB, L3 Cache 8MB, peak performance 24GFlops, memory size 8GB, video card are
The HD7450 video card of Advanced Micro Devices production, disk are Samsung SSD hard disk, and display is the liquid crystal display of HDMI interface；
Step 2, on a hardware platform adaption system A (Android) and system B (Ubuntu Linux), hardware platform point
Other independent startup system A and system B, and system A and system B enter desktop environment；
Wherein, the version of system A be Android-7.1.2, the 16.04 of the version of system B；
Step 3, system kernel addition GPU switching module, GPU virtual module A, GPU virtual module B in system B；
After step 4, activation system B, the activation system A in a new container (Container), and display system desktop
B；
After step 5, system A start completion, system desktop A and system desktop B, system desktop A and system desktop B points of modification
It Shi Yong not GPU virtual module A, GPU virtual module B；
Desktop switch controller A and desktop switch controller B is added in step 6 in system desktop A and system desktop B, leads to
It crosses desktop switch controller A and desktop switch controller B control GPU switching module and carries out desktop switching；
Step 7, by the desktop switch controller A in system desktop A, desktop is switched to system desktop B；
Step 8, by the desktop switch controller B in system desktop B, desktop is switched to system desktop A.
Wherein, desktop switch controller A and desktop switch controller B is an icon respectively, when double-clicking icon, control
GPU switching module carries out desktop switching.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of shared framework using GPU of more desktop environments, including GPU hardware, system kernel, system desktop A, system desktop
B, GPU client A and GPU client B；
System kernel includes GPU drive module, GPU switching module, GPU virtual module A, GPU virtual module B,
GPU client A is constituted by the desktop programs of android system and directly using the program of GPU rendering interface,
GPU client B is constituted by the desktop programs of linux system and directly using the program of GPU rendering interface,
GPU drive module and GPU hardware constitute GPU server-side, and GPU client A passes through the GPU drive module tune in system kernel
Use GPU hardware；
Desktop switch controller A is added in system desktop A, and desktop switch controller B, desktop switch controller A is added in system desktop B
With desktop switch controller B difference control system desktop A or system desktop B as current desktop.
2. a kind of shared framework using GPU of more desktop environments according to claim 1, it is characterised in that: the virtual mould of GPU
Block A and GPU virtual module B provides GPU interface to GPU drive module, and GPU virtual module A and GPU virtual module B constitutes void
It is GPU hardware or virtual GPU equipment that quasi- GPU equipment, system desktop A and system desktop B, which need not distinguish between used equipment,.
3. a kind of shared framework using GPU of more desktop environments according to claim 2, it is characterised in that: modification system
The code segment for using GPU hardware is replaced with the code segment using GPU virtual module A by desktop A, and system desktop A is run to
On GPU virtual module A；
It modifies system desktop B and the code segment for using GPU hardware is replaced with the code segment using GPU virtual module B, system
Desktop B is run on GPU virtual module B.
4. a kind of shared framework using GPU of more desktop environments according to claim 3, it is characterised in that: GPU switches mould
Block provides the interface of GPU server-side, the GPU client A and GPU client B on upper layer is used the request sum number of GPU server-side
Switch use by control GPU switching module according to GPU hardware, desktop switch controller A and desktop switch controller B is transmitted to
GPU hardware.
5. a kind of shared framework using GPU of more desktop environments according to any one of claims 1-4, feature exist
In: in the case where not supporting system desktop A and system desktop B shared using GPU, GPU client calls GPU hardware to have function
It calls and the physical memory of GPU hardware directly accesses two ways.
6. a kind of shared framework using GPU of more desktop environments according to claim 5, it is characterised in that:
(1) function call；
GPU virtual module A and GPU virtual module B provides function call interface identical with GPU drive module and parameter, the two
Semantic identical, system desktop A needs to call ioctl interface (IOCTL_GPU_FUNC1 ...), this time calls and is just forwarded to GPU void
Quasi- modules A, GPU virtual module A call svgpu_drv_func1 interface, and svgpu_drv_func1 interface forwards the request to down
Grade GPU switching module, GPU switching module call gs_svgpu_drv_func1 interface to be handled, and final call to GPU drives
It is executed in the gpu_drv_func1 interface of module, GPU drive module is called into the gpu_func1 interface of GPU hardware；
(2) physical memory of GPU hardware directly accesses；
In order to reduce the modification expense of GPU client, the access interface for needing that function call and GPU physical memory is allowed directly to access
It does not change.
The physical memory of GPU hardware is directly accessed, guarantees the access mode of GPU client and the feelings of not shared GPU hardware
Condition is identical.The physical memory of GPU hardware directly accesses: reducing the expense of data transmission, GPU client writes direct data
The video memory of GPU hardware, rather than memory is write the data to, then data are transferred in GPU hardware from video memory by dma operation
It deposits, the access interface of GPU hardware supports the consistent video memory read-write operation of data, in the allocated phase of video memory, guarantees each GPU visitor
The video memory of family end distribution is not overlapped, and when multiple GPU clients use video memory simultaneously, needs to guarantee each GPU
Client is all assigned to the suitable video memory of quantity, and there can be no some GPU client excessive, and other clients that occupy video memory
The case where dividing less than video memory.
7. a kind of shared method using GPU of more desktop environments, includes the following steps:
Step 1 provides hardware platform；
Step 2, on a hardware platform adaption system A (Android) and system B, hardware platform independently activation system A and are
Unite B, and system A and system B enter desktop environment；
Step 3, system kernel addition GPU switching module, GPU virtual module A, GPU virtual module B in system B；
After step 4, activation system B, the activation system A in a new container, and display system desktop B；
After step 5, system A start completion, system desktop A and system desktop B is modified, system desktop A and system desktop B make respectively
With GPU virtual module A, GPU virtual module B；
Desktop switch controller A and desktop switch controller B is added in step 6 in system desktop A and system desktop B, passes through table
Face switch controller A and desktop switch controller B control GPU switching module and carry out desktop switching；
Step 7, by the desktop switch controller A in system desktop A, desktop is switched to system desktop B；
Step 8, by the desktop switch controller B in system desktop B, desktop is switched to system desktop A.
8. a kind of shared method using GPU of more desktop environments according to claim 7, it is characterised in that: hardware platform
For the FT1500A desktop computer based on domestic processor, configure as follows: CPU is FT1500A processor, and the compatible Armv8 of processor refers to
Collection is enabled, 4 xiaomi processor cores, core clock frequencies 1.5GHz, L1 data Cache32KB, L2 Cache2MB, L3 are integrated
Cache8MB, peak performance 24GFlops, memory size 8GB, video card are the HD7450 video card of Advanced Micro Devices production, disk three
Star SSD hard disk, display are the liquid crystal display of HDMI interface.
9. a kind of shared method using GPU of more desktop environments according to claim 7, it is characterised in that: the version of system A
This is Android-7.1.2, the 16.04 of the version of system B.
10. a kind of shared method using GPU of more desktop environments according to claim 7, it is characterised in that: desktop switching
Controller A and desktop switch controller B is an icon respectively, and when double-clicking icon, control GPU switching module carries out desktop and cuts
It changes.
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