Chris Gregg

Hardware and Architecture · 2011–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Hardware and Architecture — 10 citations into it
• Computer Networks and Communications — 9 citations into it

Whom Chris Gregg trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nathan Bell
2. Michael Garland
3. John E. Stone

Papers from Chris Gregg's perspective

Ordered by how strongly the researchers Chris Gregg trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimization of sparse matrix-vector multiplication on emerging multicore platforms (International Conference on Software Composition)
2. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
3. Implementing sparse matrix-vector multiplication on throughput-oriented processors (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis)
4. GPUTeraSort: high performance graphics co-processor sorting for large database management (SIGMOD Conference)
5. A performance study of general-purpose applications on graphics processors using CUDA (J. Parallel Distributed Comput.)
6. OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems (Computing in science & engineering (Print))
7. In-datacenter performance analysis of a tensor processing unit
8. Ultra-Performance Pascal GPU and NVLink Interconnect
9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
10. Facebook

Their papers

• Datacenter-Scale Analysis and Optimization of GPU Machine Learning Workloads (2021) — 22 citations
• Where is the data? Why you cannot debate CPU vs. GPU performance without the answer (2011) — 320 citations