Abstract: Apparatuses, systems, and techniques to allocate processor memory. In at least one embodiment, an application programming interface is used to execute instructions to asynchronously deallocate memory locations from processors.

Abstract: Apparatuses, systems, and techniques to limit memory during execution of one or more kernels and/or thread groups during PPU execution. In at least one embodiment, a process indicates a memory limit for one or more kernels and/or thread groups to a parallel processing library, and said parallel processing library restricts memory allocation for said one or more kernels and/or thread groups according to said memory limit.

Abstract: Apparatuses, systems, and techniques to allocate processor memory. In at least one embodiment, an application programming interface is used to execute instructions to asynchronously allocate memory locations to processors.

Abstract: Apparatuses, systems, and techniques to limit one or more computational resources to be used to execute one or more CUDA programs. In at least one embodiment, a user indicates to an application programming interface (API) one or more global data values to indicate a limit on one or more computational resources of a parallel processing unit (PPU) and said API enforces said limit on one or more computational resources during execution of one or more CUDA programs.

Abstract: Apparatuses, systems, and techniques to generate one or more graph code nodes to allocate memory. In at least one embodiment, one or more graph code nodes to allocate memory are generated, based on, for example, CUDA or other parallel computing platform code.

Abstract: Apparatuses, systems, and techniques to generate one or more graph code nodes to deallocate memory. In at least one embodiment, one or more graph code nodes to deallocate memory are generated, based on, for example, CUDA or other parallel computing platform code.

Abstract: Apparatuses, systems, and techniques to indicate storage to be compressed. In at least one embodiment, an application programming interface is performed to indicate storage to store information to be compressed.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interface (API) functions to facilitate parallel computing. In at least one embodiment, one or more APIs are to indicate information about one or more storage locations using various novel techniques described herein.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interface (API) functions to facilitate parallel computing. In at least one embodiment, one or more APIs are to indicate whether one or more storage locations can be shared during performance of software using various novel techniques described herein.

Abstract: Apparatuses, systems, and techniques to execute one or more application programming interface (API) functions to facilitate parallel computing. In at least one embodiment, one or more APIs are to indicate one or more storage locations using various novel techniques described herein.