Tandem Processor: Grappling with Emerging Operators in Neural Networks-Reference-Cited by-同舟云学术

Tandem Processor: Grappling with Emerging Operators in Neural Networks

Published:2024-04-27 Issue: Volume:2 Page:1165-1182
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2
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Author:

Ghodrati Soroush¹^ORCID,Kinzer Sean²^ORCID,Xu Hanyang³^ORCID,Mahapatra Rohan²^ORCID,Kim Yoonsung⁴^ORCID,Ahn Byung Hoon⁵^ORCID,Wang Dong Kai⁶^ORCID,Karthikeyan Lavanya²^ORCID,Yazdanbakhsh Amir⁷^ORCID,Park Jongse⁸^ORCID,Kim Nam Sung⁹^ORCID,Esmaeilzadeh Hadi¹⁰^ORCID

Affiliation:

1. University of California, San Diego, San Diego, United States of America

2. University of California, San Diego, San Diego, USA

3. University of California, San Diego, San Deigo, USA

4. KAIST, Daejeon, Republic of Korea

5. University of California, San Diego, Sa Diego, United States of America

6. UIUC, Champaign, IL, United States of America

7. Google DeepMind, Mountain View, United States of America

8. KAIST, Daejeon, Korea, South ? Republic of Korea

9. UIUC, Urbana, IL, United States of America

10. University of California, San Diego (UCSD), San Diego, United States of America

Funder

National Science Foundation (NSF)

National Science Foundation (NSF) awards

Defense Advanced Research Project Agency (DARPA)

National Institute of Health (NIH) a

Semiconductor Research Corporation (SRC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3620665.3640365

Reference120 articles.

1. Arm scalable vector extension (sve). https://developer.arm.com/documentation/102476/0100.

2. Intel advanced vector extensions (avx). https://www.intel.com/content/www/us/en/architecture-and-technology/avx-512-overview.html.

3. Nvdla. http://nvdla.org/index.html.

4. Risc-v vector extensions. https://github.com/riscv/riscv-v-spec/blob/master/v-spec.adoc.

5. gemmlowp: a small self-contained low-precision gemm library, 2022. https://github.com/google/gemmlowp.

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