Bruce Fleischer

Active Memory Cube: A processing-in-memory architecture for exascale systems

R. Nair, Samuel Antão, Carlo Bertolli et al. · IBM Journal of Research and Development · 2015 · 182 citations

Engineering, Memory Design, Active Memory Cube +17

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 · 100 citations

Engineering, Machine Learning, Computer Architecture +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

Artificial Intelligence, Multi-tops Ai Core, Machine Learning +17

DLFloat: A 16-b Floating Point Format Designed for Deep Learning Training and Inference

Ankur Agrawal, Silvia Melitta Mueller, Bruce Fleischer et al. · 2019 · 75 citations

Convolutional Neural Network, Engineering, Machine Learning +18

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

Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang et al. · 2021 · 72 citations

Artificial Intelligence, Engineering, Machine Learning +14