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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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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.
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.
WATCH NOW. Advanced Deep Learning Q & A. Davide Onofrio, NVIDIA | Cliff Woolley, NVIDIA | Alex Qi, NVIDIA | Joey Conway, NVIDIA | Alvaro Garcia, NVIDIA | Vinh Nguyen, NVIDIA | Abhishek Sawarkar, NVIDIA | Maggie Zhang, NVIDIA | Kaixi Hou, NVIDIA | Przemek Tredak, NVIDIA. GTC 2020. We will talk about the latest Deep Learning developments.
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.
Sylvain Jeaugey, NVIDIA | Cliff Woolley, NVIDIA | Sreeram Potluri, NVIDIA | Ke Wen, NVIDIA | Nathan Luehr, NVIDIA GTC 2020 NCCL (NVIDIA Collective Communication Library) optimizes inter-GPU communication on PCI, NVIDIA NVLink, and Infiniband, powering large-scale training for most DL frameworks, including Tensorflow, PyTorch, MXNet, and Chainer.
