Direct memory access architecture with multi-level multi-striding

    公开(公告)号:US11314674B2

    公开(公告)日:2022-04-26

    申请号:US16838796

    申请日:2020-04-02

    Applicant: Google LLC

    Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

    DIRECT MEMORY ACCESS ARCHITECTURE WITH MULTI-LEVEL MULTI-STRIDING

    公开(公告)号:US20240070098A1

    公开(公告)日:2024-02-29

    申请号:US18229616

    申请日:2023-08-02

    Applicant: Google LLC

    CPC classification number: G06F13/28 G06F1/04

    Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

    Direct memory access architecture with multi-level multi-striding

    公开(公告)号:US11762793B2

    公开(公告)日:2023-09-19

    申请号:US17728478

    申请日:2022-04-25

    Applicant: Google LLC

    CPC classification number: G06F13/28 G06F1/04

    Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

    DIRECT MEMORY ACCESS ARCHITECTURE WITH MULTI-LEVEL MULTI-STRIDING

    公开(公告)号:US20220327075A1

    公开(公告)日:2022-10-13

    申请号:US17728478

    申请日:2022-04-25

    Applicant: Google LLC

    Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

    DIRECT MEMORY ACCESS ARCHITECTURE WITH MULTI-LEVEL MULTI-STRIDING

    公开(公告)号:US20210255976A1

    公开(公告)日:2021-08-19

    申请号:US16838796

    申请日:2020-04-02

    Applicant: Google LLC

    Abstract: DMA architectures capable of performing multi-level multi-striding and determining multiple memory addresses in parallel are described. In one aspect, a DMA system includes one or more hardware DMA threads. Each DMA thread includes a request generator configured to generate, during each parallel memory address computation cycle, m memory addresses for a multi-dimensional tensor in parallel and, for each memory address, a respective request for a memory system to perform a memory operation. The request generator includes m memory address units that each include a step tracker configured to generate, for each dimension of the tensor, a respective step index value for the dimension and, based on the respective step index value, a respective stride offset value for the dimension. Each memory address unit includes a memory address computation element configured to generate a memory address for a tensor element and transmit the request to perform the memory operation.

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