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  1. 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.

  2. 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. Today he works with developers of high ...

  3. View Cliff Woolleys profile on LinkedIn, a professional community of 1 billion members. Experience: NVIDIA · Location: San Jose · 12 connections on LinkedIn.

    • 12
    • San Jose, California, United States
    • NVIDIA
  4. Cliff Woolley, Sr. Manager, Developer Technology Software, NVIDIA NCCL: ACCELERATED MULTI-GPU COLLECTIVE COMMUNICATIONS

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  5. If the problem persists, check the GitHub status page or contact support . cliffwoolley has 18 repositories available. Follow their code on GitHub.

    • California
    • NVIDIA
  6. Chapter 35. GPU Program Optimization. Cliff Woolley. University of Virginia. As GPU programmability has become more pervasive and GPU performance has become almost irresistibly appealing, increasing numbers of programmers have begun to recast applications of all sorts to make use of GPUs.

  7. 3. Okt. 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.