A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads

Author:

Emani Murali1,Xie Zhen1,Raskar Siddhisanket1,Sastry Varuni1,Arnold William1,Wilson Bruce1,Thakur Rajeev1,Vishwanath Venkatram1,Liu Zhengchun1,Papka Michael E.1,Bohorquez Cindy Orozco2,Weisner Rick3,Li Karen3,Sheng Yongning3,Du Yun3,Zhang Jian3,Tsyplikhin Alexander4,Khaira Gurdaman4,Fowers Jeremy5,Sivakumar Ramakrishnan5,Godsoe Victoria5,Macias Adrian5,Tekur Chetan5,Boyd Matthew5

Affiliation:

1. Argonne National Laboratory,Lemont,IL,USA,60439

2. Cerebras Systems,Sunnyvale,CA,USA,95085

3. SambaNova Systems Inc.,Palo Alto,CA,USA,94303

4. Graphcore Inc.,Palo Alto,CA,USA,94301

5. Groq Inc.,Mountain View,CA,USA,94041

Funder

Office of Science

Publisher

IEEE

Reference73 articles.

1. Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture

2. On the Acceleration of Deep Learning Model Parallelism With Staleness

3. Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action;trifan;BioRxiv,2021

4. Studying the potential of Graphcore IPUs for applications in Particle Physics;mohan,2020

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