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6 de may. de 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, California, United States · 12 connections on LinkedIn.
3 de oct. de 2014 · cuDNN: Efficient Primitives for Deep Learning. Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer. We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and ...
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 Bryan Catanzaro Baidu Research Sunnyvale, CA 94089 bcatanzaro@baidu.com Evan Shelhamer UC Berkeley Berkeley, CA 94720 shelhamer ...
3 de mar. de 2024 · Abstract. We present a library of efficient implementations of deep learning primitives. Deep learning workloads are computationally intensive, and optimizing their kernels is difficult and time-consuming. As parallel architectures evolve, kernels must be reoptimized, which makes maintaining codebases difficult over time.
Click “Watch Now” to login or join the NVIDIA Developer Program. WATCH NOW. Inter-GPU Communication with NCCL. Sylvain Jeaugey, NVIDIA | Cliff Woolley, NVIDIA | Sreeram Potluri, NVIDIA | Ke Wen, NVIDIA | Nathan Luehr, NVIDIA. GTC 2020.
8 de oct. de 2014 · cuDNN: Efficient Primitives for Deep Learning | Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, Evan Shelhamer | Computer science, CUDA, Machine learning, Mathematical Software, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 980, Tesla K40.
