A Novel DSP Architecture for Scientific Computing and Deep Learning-Reference-Cited by-同舟云学术

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A Novel DSP Architecture for Scientific Computing and Deep Learning

Published:2019 Issue: Volume:7 Page:36413-36425
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Chao^ORCID,Chen Shuming,Zhang Jian,Lv Zhao^ORCID,Wang Zhi

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08668496.pdf?arnumber=8668496

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing SpMV on Heterogeneous Multi-Core DSPs through Improved Locality and Vectorization;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. Optimizing General Matrix Multiplications on Modern Multi-core DSPs;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

3. Optimal Implementation of the Boxfilter Algorithm Based on Feiteng Platform;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

4. Accelerating DSP Applications on a 16-Bit Processor: Block RAM Integration and Distributed Arithmetic Approach;Electronics;2023-10-13

5. Experimental Test of a Three-Phase Inverter Using a Launchpad TMS320F28379D Card;Lecture Notes in Electrical Engineering;2023

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