J. A. Silberman

9.1 A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling

Ankur Agrawal, Sae Kyu Lee, J. A. Silberman et al. · 2021 · 103 citations

Computing, Computer Engineering, Computer Science +17

A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference

Bruce Fleischer, Sunil Shukla, Matthew M. Ziegler et al. · 2018 · 99 citations

Computing, Computer Engineering, Computer Science +17

Surface Intervalley Scattering on GaAs(110): Direct Observation with Picosecond Laser Photoemission

Richard Haight, J. A. Silberman · Physical Review Letters · 1989 · 81 citations

Natural Sciences, Materials Science, Physics +13

RaPiD: AI Accelerator for Ultra-low Precision Training and Inference

Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang et al. · 2021 · 75 citations

Engineering, Computer Engineering, Computer Science +14

Band gap variation and lattice, surface, and interface ‘‘instabilities’’ in Hg1−<i>x</i>Cd<i>x</i>Te and related compounds

W. E. Spicer, J. A. Silberman, I. Lindau et al. · Journal of Vacuum Science & Technology A Vacuum Surfaces and Films · 1983 · 69 citations

Natural Sciences, Materials Science, Physics +17