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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.
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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.
Cliff Woolley, Sr. Manager, Developer Technology Software, NVIDIA. What limits the scalability of parallel applications? Efficiency of parallel computation tasks. Amount of exposed parallelism. Amount of work assigned to each processor. Expense of communications among tasks. Amount of communication.
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cuDNN: Efficient Primitives for Deep Learning. Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran. NVIDIA. Santa Clara, CA 95050. fschetlur, jwoolley, philippev, jocohen, johntrang@nvidia.com.
- Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Ev...
- 2014
Forked from mjpost/sacrebleu. Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons. Python. Something went wrong, please refresh the page to try again. If the problem persists, check the GitHub status page or contact support . cliffwoolley has 18 repositories available.
Nolan Goodnight, Cliff Woolley, Gregory Lewin, David P. Luebke, Greg Humphreys: A multigrid solver for boundary value problems using programmable graphics hardware. Graphics Hardware 2003 : 102-111
