Yaosheng Fu

Yaosheng Fu joined NVIDIA in September, 2017 as a member of the architecture research team. His current interests include computer architecture, memory systems and parallel computing. Yaosheng received his Ph.D. degree in Electrical Engineering at Princeton University, NJ in 2017 and B.S. in Electronic Engineering at Tsinghua University, China in 2010.

Research Area(s)

Computer Architecture

High Performance Computing

Networking

Programming Languages, Systems and Tools

Publications

2021

GPU Domain Specialization via Composable On-Package Architecture

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler

ACM Transactions on Architecture and Code Optimization (TACO)

GPU Domain Specialization via Composable On-Package Architecture

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler

arXiv

Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator.

Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Ted Jiang, David Nellans

International Symposium on High Performance Computer Architecture (HPCA)

2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu

Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2)

BYOC: A "Bring Your Own Core" Framework for Heterogeneous-ISA Research

Jonathan Balkind, Katie Lim, Michael Schaffner, Fei Gao, Grigory Chirkov, Ang Li, Alexey Lavrov, Tri M. Nguyen, Yaosheng Fu, Florian Zaruba, Kunal Gulati, Luca Benini, David Wentzlaf

International Conference on Architectural Support for Programming Languages and…

2019

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

IEEE MICRO: Special Edition on Machine Learning Acceleration