关注
Arun Tejusve Raghunath Rajan
Arun Tejusve Raghunath Rajan
Cruise, Intel, University of Utah
在 getcruise.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
5352020
Mlperf inference benchmark. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
IEEE, 2020
852020
MLPerf Inference Benchmark. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA). 446–459
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
102020
Methods and apparatus for distributed training of a neural network
M Arunachalam, ATR Rajan, D Karkada, A Procter, V Saletore
US Patent App. 15/829,555, 2019
52019
MLPerf inference benchmark. CoRR abs/1911.02549 (2019)
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
arXiv preprint arXiv:1911.02549, 2019
52019
MLPerf Inference Benchmark
V Janapa Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
arXiv e-prints, arXiv: 1911.02549, 2019
22019
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from {\mu} Watts to MWatts for Sustainable AI
A Tschand, ATR Rajan, S Idgunji, A Ghosh, J Holleman, C Kiraly, ...
arXiv preprint arXiv:2410.12032, 2024
2024
Methods and apparatus for distributed training of a neural network
M Arunachalam, ATR Rajan, D Karkada, A Procter, V Saletore
US Patent 11,966,843, 2024
2024
Very Sensitive Electric-Field Sensors Using Nano-Scale J-FETs
AT Raghunath Rajan
nanoUtah2019 5, 26-27, 2009
2009
Four-Point FFT Processor An Asynchronous/Synchronous Comparison
R Balasubramanian, AKR Palaparthi, ATR Rajan, T Rolf
2008
Performant and Energy Efficient Distributed Deep Learning training through cooperative, toggle rate-aware power management
US Patent App. AA2,042, 0
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