Invention Application
- Patent Title: VECTOR REDUCTIONS USING SHARED SCRATCHPAD MEMORY
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Application No.: US17530869Application Date: 2021-11-19
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Publication No.: US20220156071A1Publication Date: 2022-05-19
- Inventor: Thomas Norrie , Gurushankar Rajamani , Andrew Everett Phelps , Matthew Leever Hedlund , Norman Paul Jouppi
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06F9/30
- IPC: G06F9/30 ; G06N3/04 ; G06F13/28

Abstract:
Methods, systems, and apparatus, including computer-readable media, are described for performing vector reductions using a shared scratchpad memory of a hardware circuit having processor cores that communicate with the shared memory. For each of the processor cores, a respective vector of values is generated based on computations performed at the processor core. The shared memory receives the respective vectors of values from respective resources of the processor cores using a direct memory access (DMA) data path of the shared memory. The shared memory performs an accumulation operation on the respective vectors of values using an operator unit coupled to the shared memory. The operator unit is configured to accumulate values based on arithmetic operations encoded at the operator unit. A result vector is generated based on performing the accumulation operation using the respective vectors of values.
Public/Granted literature
- US11934826B2 Vector reductions using shared scratchpad memory Public/Granted day:2024-03-19
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