An efficient application specific instruction set processor (ASIP) for tensor computation

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors (ASAP 2019)
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages37
ISBN (electronic)978-1-7281-1601-3
Publication statusPublished - Jul 2019

Publication series

NameProceedings of the International Conference on Application-Specific Systems, Architectures and Processors
Volume2019-July
ISSN (Print)1063-6862

Conference

Title30th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2019
PlaceUnited States
CityNew York
Period15 - 17 July 2019

Abstract

In the past decade, tensor computation is widely used in different areas. Various software toolbox have been released to assist tensor computation. However, there is still no hardware architecture to accelerate the tensor computation. This paper presents an efficient application specific instruction set processor (ASIP) for tensor computation. Different tensor computations are fully optimized in terms of resource usage and performance. We implement the ASIP on FPGA platform. We test our design by implementing the CANDECOMP/PARAFAC(CP) decomposition. Our design can achieve a low resource usage and run at 141 Mhz.

Research Area(s)

  • ASIP, Field-programmable gate array (FPGA), Hardware architecture, Tensor computation

Citation Format(s)

An efficient application specific instruction set processor (ASIP) for tensor computation. / Huang, Wei-pei; Cheung, Ray C.C.; Yan, Hong.
Proceedings - 2019 IEEE 30th International Conference on Application-Specific Systems, Architectures and Processors (ASAP 2019). Institute of Electrical and Electronics Engineers, Inc., 2019. p. 37 8825140 (Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors; Vol. 2019-July).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review