Graphics processing unit resource sharing

A system for sharing resources of a graphics processing unit (GPU) among a plurality of applications, the system comprising:

• a processor in communication with one or more types of memory, the processor configured to:
• receive a first request from a first application of the plurality of applications for first requested GPU resources, the GPU resources comprising a processor and a memory;
• receive a second request from a second application of the plurality of applications for second GPU resources;
• responsive to determining that the first requested GPU resources are available, allocate a first slice of the GPU resources with a first requested amount of resources to the first application;
• responsive to determining that the second requested GPU resources are available, allocate a second slice of the GPU resources with a second requested amount of resources to the second application;
• and
• enable the first application and the second application to execute concurrently within the first slice of the GPU and the second slice of the GPU respectively,
• wherein allocating the first application to the first slice and allocating the second application to the second slice is performed according to a fairness policy, wherein the fairness policy establishes that an allocated percent of the memory is less than or equal to an allocated percent of the processor.

A computer program product for sharing resources of a graphics processing unit (GPU) among a plurality of applications, the computer program product comprising:

• a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
• receiving a first request from a first application of the plurality of applications for first requested GPU resources, the GPU resources comprising a processor and a memory;
• receiving a second request from a second application of the plurality of applications for second GPU resources;
• responsive to determining that the first requested GPU resources are available, allocating a first slice of the GPU resources with a first requested amount of resources to the first application;
• responsive to determining that the second requested GPU resources are available, allocating a second slice of the GPU resources with a second requested amount of resources to the second application;
• and
• enabling the first application and the second application to execute concurrently within the first slice of the GPU and the second slice of the GPU respectively,
• wherein allocating the first application to the first slice and allocating the second application to the second slice is performed according to a fairness policy, wherein the fairness policy establishes that an allocated percent of the memory is less than or equal to an allocated percent of the processor.