Concepedia

Sheng Li

SL

7

Publications

938

Citations

7

H-Index

2017

Active since

Affiliations

Google (United States)(Current)

University of California, Berkeley

Saskatchewan Research Council (Canada)

Sheng Li is an author at Google (United States) specializing in engineering, computer engineering, and parallel computing.

Top concepts

EngineeringComputer ScienceParallel ComputingComputer EngineeringComputer ArchitectureMachine LearningTechnologyDeep LearningCivil EngineeringParallel Programming

Publications per year

2017–2023

7

Publications

7

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

Norman P. Jouppi, George Thomas Kurian, Sheng Li et al. · 2023 · 380 citations · Full text

Engineering, Machine Learning, Advanced Computing +17

A domain-specific supercomputer for training deep neural networks

Norman P. Jouppi, Doe Hyun Yoon, George Thomas Kurian et al. · Communications of the ACM · 2020 · 237 citations · Full text

Deep Neural Networks, Engineering, Machine Learning +14

The Design Process for Google's Training Chips: TPUv2 and TPUv3

Thomas Norrie, Nishant Patil, Doe Hyun Yoon et al. · IEEE Micro · 2021 · 134 citations

Engineering, Machine Learning, Electronic Design Automation +18

Effectiveness of miscible and immiscible gas flooding in recovering tight oil from Bakken reservoirs in Saskatchewan, Canada

Peng Luo, Weiguo Luo, Sheng Li · Fuel · 2017 · 85 citations

Hydrogeology, Petroleum Reservoir, Engineering +8

Lightwave Fabrics: At-Scale Optical Circuit Switching for Datacenter and Machine Learning Systems

Hong Liu, Ryohei Urata, Kevin Yasumura et al. · 2023 · 48 citations · Full text

Optical Materials, Engineering, Computer Architecture +27

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