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institution

Southeast Missouri State University

United States

18 papers here125 citations across 18
fields
  • math.CO4
  • math.CA3
  • astro-ph.SR2
  • math.AC2
  • cs.CR1
  • cs.DC1
  • math.AP1
  • math.AT1
ROR 010n41y16OpenAlex

affiliations via OpenAlex

output
19982026
most citedBenchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

43 citations

researchers with a paper here
  • Xiang-Sheng Wang2 profiles5 · h 18
  • G. Chappell3 · h 8
  • D. Dai2 · h 13
  • A. Allison1 · h 1
  • Aarran W. Shaw1 · h 3
  • A. Batchelor1 · h 2
  • Abbie Bevill1 · h 1
  • A. Bowen1 · h 2
  • Adam Van Tuyl1 · h 8
  • Adrian J. Corter1 · h 1
  • A. Hadley1 · h 4
  • A. Hailey1 · h 1
collaborating institutions
  • American Astronomical SocietyUS2 papers
  • City University of Hong KongHK2 papers
  • Rice UniversityUS2 papers
  • Royal Astronomical SocietyGB2 papers
  • Texas A&M UniversityUS2 papers
  • University of WashingtonUS2 papers
  • Adirondack Medical CenterUS1 paper
  • Applied Science Associates (United States)US1 paper
  • Arizona State UniversityUS1 paper
  • Astronomical Institute of the Slovak Academy of SciencesSK1 paper
  • Atkins (United States)US1 paper
  • Bear ValleyUS1 paper
Showing cs.DCShow all

1 paper · 1 filter

cs.DC2019★ 43 cited

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

Wei Dai, Daniel Berleant

This paper surveys benchmarking principles, machine learning devices including GPUs, FPGAs, and ASICs, and deep learning software frameworks. It also reviews these technologies wit…

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