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公开(公告)号:US11604758B2
公开(公告)日:2023-03-14
申请号:US17096742
申请日:2020-11-12
Applicant: Xilinx, Inc.
Inventor: Peng Zhang , Cody Hao Yu , Xuechao Wei , Peichen Pan
Abstract: Systems and methods for automated systolic array design from a high-level program are disclosed. One implementation of a systolic array design supporting a convolutional neural network includes a two-dimensional array of reconfigurable processing elements arranged in rows and columns. Each processing element has an associated SIMD vector and is connected through a local connection to at least one other processing element. An input feature map buffer having a double buffer is configured to store input feature maps, and an interconnect system is configured to pass data to neighboring processing elements in accordance with a processing element scheduler. A CNN computation is mapped onto the two-dimensional array of reconfigurable processing elements using an automated system configured to determine suitable reconfigurable processing element parameters.
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公开(公告)号:US11429767B2
公开(公告)日:2022-08-30
申请号:US16723091
申请日:2019-12-20
Applicant: Xilinx, Inc.
Inventor: Cody Hao Yu , Peng Zhang
Abstract: Systems and methods for designing an information processing system are described. In one embodiment, a design space is partitioned into a plurality of independent partitions based on a defined set of rules. A unique processing core is assigned to each partition. A plurality of starting points is generated for each partition, where each starting point is associated with a machine learning algorithm. The starting points for each partition may include a performance driven seed and an area-driven seed. A set of feasible designs associated with the information processing system are determined.
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