Nvidia Corporation

Amit Rao

Yogesh Kini

Ashish Srivastava

Daniel Jonathan Hettena

Debalina Bhattacharjee

Vladislav Buzov

Harendran Kethareswaran

Sharan Ashwathnarayan

Ashok Kelur

Alok Parikh

Aingarathasan Paramakuru

Kathleen E Danielson

Apparatus, systems, and techniques to share memory. In at least one embodiment, a processor comprises one or more circuits to allocate memory to at least two heterogeneous processing cores in response to performing one or more instructions associated with one or more application programming interfaces based, at least in part, on one or more attributes associated with the at least two heterogeneous processing cores.

Resource sharing by two or more heterogeneous processing cores

The present invention facilitates efficient and effective utilization of unified virtual addresses across multiple components. In one embodiment, the presented new approach or solution uses Operating System (OS) allocation on the central processing unit (CPU) combined with graphics processing unit (GPU) driver mappings to provide a unified virtual address (VA) across both GPU and CPU. The new approach helps ensure that a GPU VA pointer does not collide with a CPU pointer provided by OS CPU allocation (e.g., like one returned by 'malloc' C runtime API, etc.).

Unified memory systems and methods

An aspect of the present invention provides an arbiter which grants a request (to access a resource) in the same clock cycle as in which the requests from requesters is received. In one embodiment, such a feature may be provided in case of arbitration policies requiring state information from previous grants. In another embodiment, such a feature may be provided when the arbitration policy is programmable such that the same arbiter can be used for different arbitration policies.

Resource arbiter

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Bengaluru, India

Amit Rao