CN114217976A - Task processing method, device, equipment and storage medium - Google Patents
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Abstract
The disclosure provides a task processing method, relates to the technical field of data processing, and particularly relates to a big data processing technology. The specific implementation scheme is as follows: under the condition that a first task uses a first video memory resource in a Graphics Processing Unit (GPU) resource and does not use a first computing resource in the GPU resource, saving first video memory resource information of the first video memory resource used by the first task; and under the condition that the storage is successful, releasing the first video memory resource used by the first task. Therefore, the utilization rate of GPU resources is improved.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a big data processing technology.
Background
With the development of cloud computing, big data and deep learning, the demand for computing power is increasing day by day. Graphics Processing Units (GPUs) are widely relied on by cloud services, edge computing, and terminal devices due to advantages of floating point operations, parallel computing, and the like. Therefore, how to increase the utilization rate of GPU resources becomes an urgent problem to be solved.
Disclosure of Invention
The disclosure provides a task processing method, a device, equipment and a storage medium.
According to an aspect of the present disclosure, there is provided a task processing method including:
under the condition that a first task uses a first video memory resource in GPU resources and does not use a first computational power resource in the GPU resources, saving first video memory resource information of the first video memory resource used by the first task;
and under the condition that the storage is successful, releasing the first video memory resource used by the first task.
According to another aspect of the present disclosure, there is provided a task processing apparatus including:
the first information processing unit is used for saving first video memory resource information of a first video memory resource used by a first task under the condition that the first task uses the first video memory resource in GPU resources and does not use the first computing power resource in the GPU resources;
and the resource processing unit is used for releasing the first video memory resource used by the first task under the condition of successful storage.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method described above.
According to another aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method described above.
Therefore, according to the scheme, under the condition that the task uses the video memory resource in the GPU resource but does not use the computational power resource in the GPU resource, the first video memory resource used by the task is actively released, namely the use permission of the GPU resource is actively released, so that the condition that the resource is occupied but not used is effectively avoided, the resource waste is avoided, and meanwhile, the utilization rate of the GPU resource is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a schematic flow chart diagram of a task processing method according to an embodiment of the present disclosure;
FIG. 2 is a flow diagram of a task processing method in a specific example according to an embodiment of the disclosure;
FIG. 3 is a flow diagram of a task processing method in another specific example according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of a task processing device according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device for implementing a task processing method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
However, in actual use, the application program always occupies the video memory resource of the GPU resource, but only part of the time is used for computing the computational power resource in the GPU resource, and other times may be performing CPU tasks or waiting for data input, which obviously causes great waste of the computational power resource.
Based on the scheme, the scheme of GPU time-sharing multiplexing is provided, and the scheme can be applied to the field of GPU virtualization, so that time-sharing mixed distribution of a plurality of GPU tasks is better realized, and the utilization rate of GPU resources is improved. Specifically, in order to improve the utilization rate of the GPU resources, the GPU time division multiplexing method is adopted, and when the task is in a state where the computational resources are idle, the video memory site of the task (i.e. the related information of the video memory resources) is protected and the use right of the GPU resources is handed out (i.e. released) for use by other GPU tasks; and under the condition that the use needs to be recovered, acquiring the use permission of the GPU resources, recovering the video memory site, and simultaneously keeping the tasks not to exit, thereby realizing hot switching of the GPU tasks and realizing time-sharing multiplexing of a plurality of GPU tasks.
As shown in fig. 1, the present disclosure provides a task processing method, including:
step S101: and under the condition that a first task uses a first video memory resource in GPU resources and does not use a first computing resource in the GPU resources, saving first video memory resource information of the first video memory resource used by the first task.
Here, the first task may also be referred to as a first GPU task, that is, the first task needs to be executed by using GPU resources, and the GPU resources may specifically include computational resources and video memory resources.
It can be understood that the first task described above uses the first video memory resource in the GPU resource and does not use the first computational resource in the GPU resource, that is, it is equivalent to the first task being in a computational resource idle state. The above saving of the first video memory resource information of the first video memory resource used by the first task is equivalent to saving of the video memory site of the first task, that is, keeping the first task from exiting.
In a specific example, the first task is started to run in a CPU, and a usage right of the GPU is obtained, that is, a computing resource and a video memory resource of a GPU resource required for normal running of the first task are obtained, so that the first task is processed based on the computing resource and the video memory resource of the GPU resource.
Step S102: and under the condition that the storage is successful, releasing the first video memory resource used by the first task.
It should be noted that, after the first task releases the first video memory resource used by the first task, it is equivalent to release the usage right of the GPU resource, so that it is convenient for other tasks to use the GPU resource.
Therefore, according to the scheme of the disclosure, under the condition that the first task is in the computing power resource idle state, the related information of the video memory resource used by the first task is stored, that is, the first video memory resource information of the first video memory resource used by the first task is stored, and then the first video memory resource used by the first task is released, that is, under the condition that the first task is in the computing power resource idle state, the first video memory resource used is released, that is, the use permission of the GPU is released, so that other tasks can use the GPU resource conveniently, the condition that the resource is occupied but not used is effectively avoided, and the utilization rate of the GPU resource is improved.
In a specific example of the present disclosure, the following manner may be adopted to store the information related to the video memory resource used by the first task, specifically, the storing the first video memory resource information of the first video memory resource used by the first task specifically includes: and storing the first video memory resource information of the first video memory resource used by the first task into a storage medium outside the GPU. For example, the first video memory resource information of the first video memory resource is stored in a memory or a disk, so that the first task is ensured not to exit, and a foundation is laid for recovering a site for a subsequent first task (i.e., reusing the first video memory resource, and continuing to process the first task based on the GPU resource, such as the first computing resource, on the basis of reusing the first video memory resource) and realizing hot switch of the GPU task.
In a specific example of the disclosure, after saving the information related to the first video memory resource used by the first task and releasing the first video memory resource used by the first task, a first resource release signal for releasing the first video memory resource may be further sent. For example, after the first task releases the first video memory resource, the first task sends a first resource release signal to indicate that the first task has released the usage right of the GPU resource.
It can be understood that, after the video memory resources of the GPU resources are released, the permission to use the computational resources in the GPU resources is lost, in other words, after the video memory resources of the GPU resources are released, the permission to use the GPU resources is released, and at this time, a release signal can be sent to indicate that the permission to use the GPU resources has been released, so that other tasks can use the GPU resources in a relay manner, and a foundation is laid for realizing time-sharing multiplexing of multiple GPU tasks.
In a specific example of the disclosure, after the first resource release signal is sent, in a case that there is a second task waiting for acquiring the GPU resource, the second task is triggered to acquire the GPU resource. That is to say, after the first task releases the usage right of the GPU resource, there is a second task, which starts to run in the CPU and wants to acquire the GPU resource, it should be noted that the second task wants to acquire the GPU resource but does not have the usage right of the GPU resource, at this time, after capturing the first resource release signal, the second task knows that the GPU resource is in an idle state, and then acquires the usage right of the GPU resource, that is, acquires the computational power resource and the video memory resource of the GPU resource required for normal operation of the second task. Therefore, GPU resources are used in a relaying mode, and time-sharing multiplexing of a plurality of GPU tasks is achieved. Here, since the second task uses the GPU resource in a relay manner when the first task is in a state where the computational resource is idle and after the first task releases the usage right of the GPU resource, the waste of the computational resource is effectively avoided and the usage rate of the GPU resource is improved.
In a specific example of the disclosed solution, the second task is a task that cannot use the GPU resources simultaneously with the first task. That is, in this example, the computational power resource and the video memory resource required by the first task and the second task cannot be simultaneously run on the same display card, but may be run on the same display card at different time intervals, and it may also be understood that the first task and the second task are mutually exclusive, or that the GPU resources required by the first task and the second task are mutually exclusive.
Therefore, the problem that the GPU resources are wasted, especially the computing resources are wasted because the first task uses the first video memory resources but does not use the first computing resources (namely the first task is in the condition that the computing resources are idle), and at the moment, the second task mutually exclusive with the first task cannot acquire the GPU resources is solved.
In a specific example of the disclosure, after the first video memory resource used by the first task is released and the GPU resource of the first task needs to be recovered, a first resource recovery signal that the first task needs to recover the GPU resource may be further sent. For example, if the first task needs to resume using the GPU resource, the first task sends a first resource resuming signal to resume using the GPU resource, so as to ensure that the first task can be continuously processed based on the GPU resource, so that the first task can normally run; meanwhile, a foundation is laid for ensuring hot switching of tasks.
In a specific example of the disclosed aspect, in the case that the second task is processed based on the GPU resources, in response to the first resource resume signal for the first task, triggering the second task to stop using second computational resources of the GPU resources; under the condition that the use of a second computing power resource of the GPU resource is stopped, second video memory resource information of a second video memory resource used by the second task is saved; and under the condition that the storage is successful, releasing the second video memory resource used by the second task.
For example, after the first task releases the usage right of the GPU resource, and the second task acquires the usage right of the GPU, and in the process of processing the second task based on the GPU resource, the second task captures the first resource recovery signal, at this time, the second task stops using the second computing power resource of the GPU resource, where in an example, stopping using the second computing power resource of the GPU resource may specifically perform the following operations: firstly, preventing unprocessed subtasks in the second task from being transmitted to GPU resources, namely organizing new subtasks to be transmitted to the GPU resources for processing; secondly, waiting for the completion of the processing of the subtask which is already transmitted to the GPU resource in the second task, namely waiting for the completion of the processing of the subtask which is being processed based on the GPU resource in the second task; and after the sub-task processing based on the GPU resource in the second task is ensured to be completed, protecting the site, namely saving the second video memory resource information of the second video memory resource used by the second task, and then releasing the second video memory resource used by the second task.
That is, when the GPU resource is occupied by the second task, if the first task needs to resume using the GPU resource, at this time, the second task needs to stop using the GPU resource, and protect the video memory site of the second task (i.e., related information of the second video memory resource), that is, keep the task not to exit, but give out the usage right of the GPU resource, so as to resume using the first task. Therefore, hot switching of the GPU tasks is realized, and meanwhile, time-sharing multiplexing of the multiple GPU tasks is realized on the basis of ensuring that the first task can be continuously processed.
In a specific example, the second task in this example may also be a task that cannot use the GPU resources simultaneously with the first task; at this time, the example can be applied to multiple mutually exclusive GPU task scenarios, and under the condition that the current task (i.e., the first task) does not exit, the field is protected and the usage right of the GPU resource of the first task is handed over, so that other GPU tasks (e.g., the second task) use the video memory resource and the computational power resource of the GPU. And when the GPU resources are needed to be used again after the current task is interrupted, obtaining the GPU resource use right and recovering the site, and continuing to operate on the basis of the state of the interrupted operation. Therefore, the utilization rate of GPU resources is improved.
In a specific example of the disclosed aspect, the priority of the second task is lower than the priority of the first task. That is, in this example, only if the priority of the second task is equal to the priority of the first task, the second task may give the usage right of the GPU resource for the task with the higher priority, that is, the first task resumes using the GPU resource. Otherwise, if the priority of the second task is higher than that of the first task, even if the first task needs to be recovered to the site, the second task does not give the usage right of the GPU resources.
Specifically, in the case that the second task is processed based on the GPU resources and the priority of the second task is lower than the priority of the first task, in response to the first resource recovery signal for the first task, triggering the second task to stop using a second computational resource of the GPU resources; under the condition that the use of a second computing power resource of the GPU resource is stopped, second video memory resource information of a second video memory resource used by the second task is saved; and under the condition that the storage is successful, releasing the second video memory resource used by the second task.
In this way, it is ensured that tasks of high priority can preferentially use the GPU resources and be processed preferentially.
In a specific example of the present disclosure, after the second task acquires the GPU resource, if the second task uses a second video memory resource in the GPU resource and does not use a second computing resource in the GPU resource, second video memory resource information of the second video memory resource used by the second task is saved; and under the condition that the storage is successful, releasing the second video memory resource used by the second task.
It can be understood that the second task described above uses the second video memory resource in the GPU resource and does not use the second computational resource in the GPU resource, that is, it is equivalent to the second task being in a computational resource idle state. The above saving of the second video memory resource information of the second video memory resource used by the second task is equivalent to saving of the video memory site of the second task, that is, keeping the second task from exiting.
In a specific example, the second task is started to run in a CPU, and after the first task gives out the usage right of the GPU resource, the usage right of the GPU is obtained, that is, the computing power resource and the video memory resource of the GPU resource required for normal running of the second task are obtained, so as to process the second task based on the computing power resource and the video memory resource of the GPU resource.
It should be noted that, similar to the first task, after the second task releases the second video memory resource used by the second task, it is equivalent to release the usage right of the GPU resource, so that it is convenient for other tasks to use the GPU resource, or for the first task to recover the usage right of the GPU resource.
Therefore, according to the scheme of the disclosure, under the condition that the second task is in the computing power resource idle state, the related information of the video memory resource used by the second task is stored, that is, the second video memory resource information of the second video memory resource used by the second task is stored, and then the second video memory resource used by the second task is released, that is, under the condition that the second task is in the computing power resource idle state, the used second video memory resource is released, that is, the use permission of the GPU is released, so that other tasks can use the GPU resource conveniently, or other tasks (such as the first task) can resume using the GPU resource conveniently under the condition that the GPU resource needs to be resumed, so that the situation that the resource is occupied but not used is effectively avoided, and the utilization rate of the GPU resource is improved.
It can be understood that the second task may give the GPU usage right in two cases:
in the first case: in the case that a task with a higher priority than a second task, such as a first task, needs to resume using the GPU resource, at this time, the second task stops using the GPU resource, protects the field, that is, saves second video memory resource information of the second video memory resource used by the second task, and relinquishes (that is, releases) the usage right of the GPU resource.
In the second case: and under the condition that the second task is in a computing resource idle state, at the moment, the second task can automatically protect the site, namely, second video memory resource information of a second video memory resource used by the second task is stored, and the use permission of the GPU resource is handed out (namely, released).
In a specific example of the disclosure, similar to the first task, after the related information of the second video memory resource used by the second task is saved and the second video memory resource used by the second task is released, a second resource release signal for releasing the second video memory resource may be further sent. For example, after the second task releases the second video memory resource, the second task sends a second resource release signal to indicate that the second task has released the usage right of the GPU resource.
It can be understood that, after the video memory resources of the GPU resources are released, the permission to use the computational resources in the GPU resources is lost, in other words, after the video memory resources of the GPU resources are released, the permission to use the GPU resources is released, and at this time, a release signal can be sent to indicate that the permission to use the GPU resources has been released, so that other tasks can use the GPU resources in a relay manner, and a foundation is laid for realizing time-sharing multiplexing of multiple GPU tasks.
In a specific example of the present disclosure, in a case that the second task releases the second video memory resource, for example, the second task releases the usage right of the GPU resource based on the above first case, or spontaneously releases the usage right of the GPU resource based on the above second case, which is not limited in this example; at this time, if the first task needs to recover the GPU resources, copying the first video memory resource information into the GPU resources; and then continuing to process the first task based on the first video memory resource and the first computing resource. That is to say, when the first task needs to resume using the GPU resource, based on the saved first video memory resource information, the first task is restored to the state where the first task releases the first video memory resource, and then the first task is continuously processed in the original state. Therefore, hot switching of tasks is ensured, and meanwhile, the first task can be continuously processed based on the GPU resources, so that the first task can normally run.
It is to be understood that the first task and the second task described in the present disclosure may be specifically any task that needs to be executed by using GPU resources in an application, and the present disclosure is not limited thereto. Further, the first task and the second task according to the present disclosure may also be tasks that can run on the same graphics card at the same time slice, and at this time, even if both tasks can use the GPU resource at the same time, when a certain task, such as the first task or the second task, is in a power-calculating resource idle state, the task may be kept on site and the usage right of the GPU resource is handed over, so as to ensure the effective utilization of the GPU resource to the maximum.
Therefore, according to the scheme of the disclosure, under the condition that the first task is in the computing power resource idle state, the related information of the video memory resource used by the first task is stored, that is, the first video memory resource information of the first video memory resource used by the first task is stored, and then the first video memory resource used by the first task is released, that is, under the condition that the first task is in the computing power resource idle state, the first video memory resource used is released, that is, the use permission of the GPU is released, so that other tasks can use the GPU resource conveniently, the condition that the resource is occupied but not used is effectively avoided, and the utilization rate of the GPU resource is improved.
Specifically, in this example, computational resources and video memory resources required for executing the two tasks cannot be simultaneously run on the same video card, but can be run on the same video card at different time slices, which can be understood as mutual exclusion of the a task and the B task, which is substantially mutual exclusion of the GPU tasks of the two tasks.
Based on the above premise, the following two examples are given to illustrate the specific flow, specifically:
as an example one, as shown in fig. 2, the steps include:
step 1: and starting the task A to run in the CPU, and acquiring the use permission of the GPU, namely acquiring the computing power resource and the video memory resource of the GPU resource required by the normal running of the task A.
Step 2: when the task a is in a waiting state (i.e., a computing resource idle state), where the waiting state refers to a state where the task a occupies the video memory resource of the GPU resource but does not use the computing resource, at this time, the computing resource for the task a in the GPU resource is in an idle state, and accordingly, the task a may be referred to as being in a computing resource idle state. Further, the task a protects a site, where the protecting site refers to that the task a stores video memory resource information (i.e., first video memory resource information) of a video memory resource (i.e., first video memory resource) occupied by the task a to a memory or a disk; and then, the task A releases the video memory resources in the GPU resources. It should be noted that, after the task a releases the video memory resource in the GPU resource, the task a does not have the right to use the computing resource of the GPU resource, that is, the task a releases the right to use the GPU resource. After the video memory resource information is stored, the protection field of the task A is considered to be completely executed, and at the moment, the task A sends out a resource release signal to indicate that the use permission of the GPU resource is released.
It can be understood that protecting the site may specifically refer to storing the video memory resource information and releasing the video memory resource; alternatively, it can also be understood that protecting the site only refers to saving the video memory resource information; and releasing the video memory resource after protecting the site. The disclosed solution is not limited in this regard. In addition, it should be further noted that the timing for sending the resource release signal may be performed after the completion of the execution of the protection site, that is, after the video memory resource information is successfully saved, or may be performed after the video memory resource of the GPU resource is released, which is not limited in this disclosure.
It can be understood that the sequence of sending the resource release signal and releasing the video memory resource may be different, and the scheme of the present disclosure is not limited to this specifically; for example, after the video memory resource is released, the resource release signal may be sent; or even if the time for sending the resource release signal is before the video memory resource is released, at this time, the task B obtains the usage right of the GPU resource after the task a releases the usage right of the GPU resource, so as to ensure that the task B can successfully obtain the usage right of the GPU resource.
And step 3: the task B is started and operated in the CPU, and the use permission of the GPU resource is required to be obtained, wherein the task B does not represent the use permission of the GPU resource; further, after capturing the resource release signal sent by the task A, the task B learns that the GPU resource is in an idle state, and acquires the use permission of the GPU resource, namely acquires the computing power resource and the video memory resource of the GPU resource required by the normal operation of the task B.
And 4, step 4: the task B normally runs, and when the task B runs, it is known that the task A needs to be in a running state, that is, the task B acquires a resource recovery signal sent by the task A needing to be in a running state, and the task B actively enters a waiting state, for example, the task B stops using computing resources in GPU resources but occupies video memory resources, and here, the task B can be understood that the priority of the task A is higher than that of the task B, so the task B needs to release the GPU resources for the task A to normally run.
And 5: b, protecting the site by the task; that is, the task B stores the video memory resource information (i.e., the second video memory resource information) of the video memory resource (i.e., the second video memory resource) occupied by the task B to the memory or the disk, and then the task B releases the video memory resource in the GPU resource. After the video memory resource information is stored, the B task protection field is considered to be executed completely, and at the moment, the B task sends out a resource release signal to indicate that the use permission of the GPU resource is released.
Step 6: after capturing the resource release signal sent by the task B, the task A acquires the use permission of GPU resources (video memory resources and computational resources) and restores the site. Here, the restoring the site refers to copying the video memory resource information for the task a, which has been previously saved in the memory or the disk, to the video memory of the GPU resource (this video memory is the video memory used when the task a runs). And after the recovery site is finished, the task A can normally run. At this time, the task a continues to run based on the aforementioned state, i.e., the waiting state in step 2.
In this way, in the task a, in the previous state (that is, in the case that step 2 is in the waiting state), the subtask already running on the GPU resource does not sense the interruption due to the operations of the protection field and the recovery field, and thus the task is continuously run.
Further, after the task A enters the waiting state again, the step 2 is executed, and then after the task B captures a resource release signal sent by the task A, the task B knows that the GPU resource is in an idle state, and the task B recovers to the site. And after the recovery field is finished, the task B runs normally. And the process is circulated until the task is executed.
Example two, as shown in fig. 3, the steps include:
step 1: and starting the task A to run in the CPU, and acquiring the use permission of the GPU, namely acquiring the computing power resource and the video memory resource of the GPU resource required by the normal running of the task A.
Step 2: when the task a is in a waiting state (i.e., a computing resource idle state), where the waiting state refers to a state where the task a occupies the video memory resource of the GPU resource but does not use the computing resource, at this time, the computing resource for the task a in the GPU resource is in an idle state, and accordingly, the task a may be referred to as being in a computing resource idle state. Further, the task a protects a site, where the protecting site refers to that the task a stores video memory resource information (i.e., first video memory resource information) of a video memory resource (i.e., first video memory resource) occupied by the task a to a memory or a disk; and then, the task A releases the video memory resources in the GPU resources. It should be noted that, after the task a releases the video memory resource in the GPU resource, the task a does not have the right to use the computing resource of the GPU resource, that is, the task a releases the right to use the GPU resource. After the video memory resource information is stored, the protection field of the task A is considered to be completely executed, and at the moment, the task A sends out a resource release signal to indicate that the use permission of the GPU resource is released.
It can be understood that protecting the site may specifically refer to storing the video memory resource information and releasing the video memory resource; alternatively, it can also be understood that protecting the site only refers to saving the video memory resource information; and releasing the video memory resource after protecting the site. The disclosed solution is not limited in this regard. In addition, it should be further noted that the timing for sending the resource release signal may be performed after the completion of the execution of the protection site, that is, after the video memory resource information is successfully saved, or may be performed after the video memory resource of the GPU resource is released, which is not limited in this disclosure.
It can be understood that the sequence of sending the resource release signal and releasing the video memory resource may be different, and the scheme of the present disclosure is not limited to this specifically; for example, after the video memory resource is released, the resource release signal may be sent; or even if the time for sending the resource release signal is before the video memory resource is released, at this time, the task B obtains the usage right of the GPU resource after the task a releases the usage right of the GPU resource, so as to ensure that the task B can successfully obtain the usage right of the GPU resource.
And step 3: the task B is started and operated in the CPU, and the use permission of the GPU resource is required to be obtained, wherein the task B does not represent the use permission of the GPU resource; further, after capturing the resource release signal sent by the task A, the task B learns that the GPU resource is in an idle state, and acquires the use permission of the GPU resource, namely acquires the computing power resource and the video memory resource of the GPU resource required by the normal operation of the task B.
And 4, step 4: the task B normally runs, and then, the task B enters a waiting state (i.e., a computing resource idle state), where the waiting state refers to a state in which the task B occupies a video memory resource of the GPU resource but does not use the computing resource, and at this time, the computing resource for the task B in the GPU resource is in an idle state, which may be referred to as the task B being in a computing resource idle state. Further, the task B protects a site, where the protecting site refers to that the task B stores video memory resource information (i.e., second video memory resource information) of a video memory resource (i.e., second video memory resource) occupied by the task B to a memory or a disk; and then, the task B releases the video memory resources in the GPU resources. It should be noted that, after the task B releases the video memory resource targeted in the GPU resource, the task B does not have the right to use the computational resource of the GPU resource, that is, the task B releases the right to use the GPU resource. After the video memory resource information is stored, the B task protection field is considered to be executed completely, and at the moment, the B task sends out a resource release signal to indicate that the use permission of the GPU resource is released.
And 5: when other tasks need to use GPU resources, or the task a needs to recover the running state, here, the example that the task a needs to recover the running state is described; specifically, after capturing a resource release signal sent by the task B, the task a acquires the usage right of the GPU resource (video memory resource and computational resource), and restores the field. Here, the restoring the site refers to copying the video memory resource information for the task a, which has been previously saved in the memory or the disk, to the video memory of the GPU resource (this video memory is the video memory used when the task a runs). And after the recovery site is finished, the task A can normally run. At this time, the task a continues to run based on the aforementioned state, i.e., the waiting state in step 2.
In this way, in the task a, in the previous state (that is, in the case that step 2 is in the waiting state), the subtask already running on the GPU resource does not sense the interruption due to the operations of the protection field and the recovery field, and thus the task is continuously run.
Further, after the task A enters the waiting state again, the step 2 is executed, and then, if the task B needs to recover the site and captures a resource release signal sent by the task A, the task B knows that the GPU resource is in an idle state and the task B recovers the site. And after the recovery field is finished, the task B runs normally. And the process is circulated until the task is executed.
It is understood that the above examples are only exemplified by the a task and the B task, and in practical applications, there may be more tasks, and the more tasks successively use GPU resources based on the present disclosure. For example, when a specific task is in a waiting state (which can also be understood as an interruption operation), the site is protected; and when the use right of the GPU resource needs to be obtained again after the operation of the specific task is interrupted, restoring the site, and continuing to operate on the basis of the state of the interrupted operation. In addition, in this example, the running of the high-priority task may also be prioritized, for example, when the high-priority task needs to use the GPU resource, the running low-priority task may be interrupted by sending a signal, and at this time, the low-priority task that is being forcibly interrupted may protect the field.
The scheme disclosed by the invention realizes time-sharing multiplexing of multiple GPU tasks, realizes time-sharing mixed distribution of the GPU tasks, simultaneously can keep all the GPU tasks not to exit, and can continuously run based on the previous interrupt state when the GPU tasks run after being interrupted, thereby maximally improving the utilization rate of GPU resources.
The present disclosure also provides a task processing apparatus, as shown in fig. 4, including:
a first information processing unit 401, configured to, when a first task uses a first video memory resource in a GPU resource and does not use a first computational resource in the GPU resource, save first video memory resource information of the first video memory resource used by the first task;
a resource processing unit 402, configured to release the first video memory resource used by the first task when the storage is successful.
In a specific example of the disclosed aspect, wherein,
the first information processing unit is specifically configured to store first video memory resource information of the first video memory resource used by the first task in a storage medium other than the GPU.
In a specific example of the present disclosure, the method further includes:
and the first sending unit is used for sending a first resource release signal for releasing the first video memory resource.
In a specific example of the disclosed aspect, wherein,
the resource processing unit is further configured to trigger the second task to acquire the GPU resource when a second task waiting for acquiring the GPU resource exists after the first resource release signal is sent.
In a specific example of the disclosed solution, the second task is a task that cannot use the GPU resources simultaneously with the first task.
In a specific example of the present disclosure, the method further includes:
a second sending unit, configured to send a first resource recovery signal that the first task needs to recover using the GPU resource.
In a specific example of the present disclosure, the method further includes: a second information processing unit; wherein,
the second information processing unit is configured to trigger the second task to stop using a second computational resource of the GPU resources in response to the first resource recovery signal for the first task if the second task is processed based on the GPU resources; under the condition that the use of a second computing power resource of the GPU resource is stopped, second video memory resource information of a second video memory resource used by the second task is saved;
and the resource processing unit is further configured to release the second video memory resource used by the second task when the storage is successful.
In a specific example of the disclosed solution, wherein the priority of the second task is lower than the priority of the first task.
In a specific example of the present disclosure, the method further includes: a third information processing unit in which, among others,
a third information processing unit, configured to store second video memory resource information of a second video memory resource used by the second task when the second task uses the second video memory resource in the GPU resource and does not use a second computational power resource in the GPU resource;
and the resource processing unit is further configured to release the second video memory resource used by the second task when the storage is successful.
In a specific example of the present disclosure, the method further includes:
and the third sending unit is used for sending a second resource release signal for releasing the second video memory resource.
In a specific example of the disclosed aspect, wherein,
the resource processing unit is further configured to copy the first video memory resource information to the GPU resource when the second task releases the second video memory resource; and continuing to process the first task based on the first video memory resource and the first computing resource.
The specific functions of the units in the above device can be described with reference to the above method, and are not described again here.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 5 illustrates a schematic block diagram of an example electronic device 500 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the apparatus 500 comprises a computing unit 501 which may perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data required for the operation of the device 500 can also be stored. The calculation unit 501, the ROM 502, and the RAM503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, or the like; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508, such as a magnetic disk, optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general-purpose and/or special-purpose processing components having processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 501 executes the respective methods and processes described above, such as the task processing method. For example, in some embodiments, the task processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into the RAM503 and executed by the computing unit 501, one or more steps of the task processing method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the task processing method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (25)
1. A method of task processing, comprising:
under the condition that a first task uses a first video memory resource in a Graphics Processing Unit (GPU) resource and does not use a first computing resource in the GPU resource, saving first video memory resource information of the first video memory resource used by the first task;
and under the condition that the storage is successful, releasing the first video memory resource used by the first task.
2. The method of claim 1, wherein the saving first video memory resource information of the first video memory resource used by the first task comprises:
and storing the first video memory resource information of the first video memory resource used by the first task into a storage medium outside the GPU.
3. The method of claim 1 or 2, further comprising:
and sending a first resource release signal for releasing the first video memory resource.
4. The method of claim 3, further comprising:
and triggering the second task to acquire the GPU resource under the condition that the second task waiting for acquiring the GPU resource exists after the first resource release signal is sent.
5. The method of claim 4, wherein the second task is a task that cannot use the GPU resources simultaneously with the first task.
6. The method of claim 4 or 5, further comprising:
sending a first resource recovery signal that the first task needs to recover using the GPU resources.
7. The method of claim 6, further comprising:
triggering the second task to stop using a second computational resource of the GPU resources in response to the first resource resume signal for the first task if the second task is processed based on the GPU resources;
under the condition that the use of a second computing power resource of the GPU resource is stopped, second video memory resource information of a second video memory resource used by the second task is saved;
and under the condition that the storage is successful, releasing the second video memory resource used by the second task.
8. The method of claim 7, wherein the second task has a lower priority than the first task.
9. The method of claim 4, 5 or 6, further comprising:
under the condition that the second task uses a second video memory resource in the GPU resource and does not use a second computing power resource in the GPU resource, saving second video memory resource information of the second video memory resource used by the second task;
and under the condition that the storage is successful, releasing the second video memory resource used by the second task.
10. The method of claim 9, further comprising:
and sending a second resource release signal for releasing the second video memory resource.
11. The method of any of claims 7 to 10, further comprising:
under the condition that the second task releases the second video memory resource, copying the first video memory resource information into the GPU resource;
and continuing to process the first task based on the first video memory resource and the first computing resource.
12. A task processing device comprising:
the first information processing unit is used for saving first video memory resource information of a first video memory resource used by a first task under the condition that the first task uses the first video memory resource in GPU resources and does not use the first computing power resource in the GPU resources;
and the resource processing unit is used for releasing the first video memory resource used by the first task under the condition of successful storage.
13. The apparatus of claim 12, wherein,
the first information processing unit is specifically configured to store first video memory resource information of the first video memory resource used by the first task in a storage medium other than the GPU.
14. The apparatus of claim 12 or 13, further comprising:
and the first sending unit is used for sending a first resource release signal for releasing the first video memory resource.
15. The apparatus of claim 14, wherein,
the resource processing unit is further configured to trigger the second task to acquire the GPU resource when a second task waiting for acquiring the GPU resource exists after the first resource release signal is sent.
16. The apparatus of claim 15, wherein the second task is a task that cannot use the GPU resources simultaneously with the first task.
17. The apparatus of claim 15 or 16, further comprising:
a second sending unit, configured to send a first resource recovery signal that the first task needs to recover using the GPU resource.
18. The apparatus of claim 17, further comprising: a second information processing unit; wherein,
the second information processing unit is configured to trigger the second task to stop using a second computational resource of the GPU resources in response to the first resource recovery signal for the first task if the second task is processed based on the GPU resources; under the condition that the use of a second computing power resource of the GPU resource is stopped, second video memory resource information of a second video memory resource used by the second task is saved;
and the resource processing unit is further configured to release the second video memory resource used by the second task when the storage is successful.
19. The apparatus of claim 18, wherein the second task has a lower priority than the first task.
20. The apparatus of claim 15, 16 or 17, further comprising: a third information processing unit in which, among others,
a third information processing unit, configured to store second video memory resource information of a second video memory resource used by the second task when the second task uses the second video memory resource in the GPU resource and does not use a second computational power resource in the GPU resource;
and the resource processing unit is further configured to release the second video memory resource used by the second task when the storage is successful.
21. The apparatus of claim 20, further comprising:
and the third sending unit is used for sending a second resource release signal for releasing the second video memory resource.
22. The apparatus of any one of claims 18 to 21,
the resource processing unit is further configured to copy the first video memory resource information to the GPU resource when the second task releases the second video memory resource; and continuing to process the first task based on the first video memory resource and the first computing resource.
23. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-11.
24. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-11.
25. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-11.
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