Risultati di ricerca
6 mag 2014 · Cliff Woolley is a senior developer technology engineer with NVIDIA. He received his master's degree in Computer Science from the University of Virginia in 2003, where he was among the earliest academic researchers to explore the use of GPUs for general purpose computing.
View Cliff Woolley’s profile on LinkedIn, a professional community of 1 billion members. Experience: NVIDIA · Location: San Jose · 12 connections on LinkedIn.
- 12
- 25
- NVIDIA
- San Jose, California, United States
3 ott 2014 · Computer Science > Neural and Evolutionary Computing. [Submitted on 3 Oct 2014 ( v1 ), last revised 18 Dec 2014 (this version, v3)] cuDNN: Efficient Primitives for Deep Learning. Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer.
- Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Ev...
- 2014
1 dic 2014 · Cliff Woolley (NVIDIA) Philippe Vandermersch (NVIDIA) Jonathan Cohen (NVIDIA) John Tran (NVIDIA) Bryan Catanzaro (Baidu) Evan Shelhamer (UC Berkeley) Publication Date. Monday, December 1, 2014. Published in. Deep Learning and Representation Learning Workshop (NIPS2014) Research Area. Artificial Intelligence and Machine Learning. External Links.
3 mar 2024 · Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran NVIDIA Santa Clara, CA 95050 {schetlur, jwoolley, philippev, jocohen, johntran}@nvidia.com \And Bryan Catanzaro Baidu Research Sunnyvale, CA 94089 bcatanzaro@baidu.com \And Evan Shelhamer UC Berkeley Berkeley, CA 94720 shelhamer@eecs.berkeley.edu
6 mag 2014 · About Cliff Woolley Cliff Woolley is a senior developer technology engineer with NVIDIA. He received his master's degree in Computer Science from the University of Virginia in 2003, where he was among the earliest academic researchers to explore the use of GPUs for general purpose computing.
3 code implementations • 3 Oct 2014 • Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer To address this problem, we have created a library similar in intent to BLAS, with optimized routines for deep learning workloads.
