WeChat Mini Program
Old Version Features
Research Interests

Papers共 62 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole
Rathinakumar Appuswamy, Michael V. Debole,Brian Taba,Steven K. Esser,Andrew S. Cassidy,Arnon Amir,Alexander Andreopoulos,Deepika Bablani, Pallab Datta,Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon,Jeffrey L. McKinstry,Tapan K. Nayak, Daniel F. Smith, Rafael Sousa,Ignacio Terrizzano, Filipp Akopyan, Peter J. Carlson, Rajamohan Gandhasri, Guillaume J. Garreau, Nelson M. Gonzalez,Megumi Ito, Jennifer L. Klamo,Yutaka Nakamura, Carlos Ortega Otero, William P. Risk, Jun Sawada,Kai Schleupen, Jay Sivagnaname, Matthew Stallone,Takanori Ueda,Myron D. Flickner, John V. Arthur, Rameswar Panda, David D. Cox, Dharmendra S. Modha
2024 IEEE High Performance Extreme Computing Conference (HPEC)pp.1-8, (2024)
Cited0Views0EIWOSBibtex
0
0
Breakthrough Edge AI Inference Performance Using Northpole in 3U Vpx Form Factor
Filipp Akopyan, William P. Risk, John V. Arthur,Andrew S. Cassidy, Michael V. Debole, Carlos Ortega Otero, Jun Sawada, Evan Colgan, Michael E. Criscolo, Phillip V. Mann, Heinz Baier,Kai Schleupen,Arnon Amir,Alexander Andreopoulos,Rathinakumar Appuswamy,Deepika Bablani, Peter J. Carlson, Pallab Datta,Steven K. Esser,Myron D. Flickner, Rajamohan Gandhasri, Guillaume J. Garreau,Megumi Ito, Jennifer L. Klamo,Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Neil McGlohon,Jeffrey L. McKinstry,Yutaka Nakamura,Tapan K. Nayak, Jay Sivagnaname, Daniel F. Smith, Rafael Sousa,Brian Taba,Ignacio Terrizzano,Takanori Ueda, Dharmendra S. Modha
2024 IEEE High Performance Extreme Computing Conference (HPEC)pp.1-5, (2024)
Cited0Views0EIWOSBibtex
0
0
Load More
Author Statistics

#Papers: 62

#Citation: 14072

H-Index: 27

G-Index: 55

Sociability: 6

Diversity: 3

Activity: 7

  • 合作者
  • 学生
  • 导师
No result temporarily, you can search similar Scholar with the same research interest
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn