Invention Grant
- Patent Title: Tiling format for convolutional neural networks
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Application No.: US16234956Application Date: 2018-12-28
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Publication No.: US10762392B2Publication Date: 2020-09-01
- Inventor: Song Zhang , Jiantan Liu , Hua Zhang , Min Yu
- Applicant: Advanced Micro Devices, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Advanced Micro Devices, Inc.
- Current Assignee: Advanced Micro Devices, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Kowert Hood Munyon Rankin and Goetzel PC
- Agent Rory D. Rankin
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@4797cb9e
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06N3/04

Abstract:
Systems, apparatuses, and methods for converting data to a tiling format when implementing convolutional neural networks are disclosed. A system includes at least a memory, a cache, a processor, and a plurality of compute units. The memory stores a first buffer and a second buffer in a linear format, where the first buffer stores convolutional filter data and the second buffer stores image data. The processor converts the first and second buffers from the linear format to third and fourth buffers, respectively, in a tiling format. The plurality of compute units load the tiling-formatted data from the third and fourth buffers in memory to the cache and then perform a convolutional filter operation on the tiling-formatted data. The system generates a classification of a first dataset based on a result of the convolutional filter operation.
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