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  1. 6 de mai. 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.

  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.

  3. WATCH NOW. 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.

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

    • 12
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    • NVIDIA
    • San Jose, California, United States
  5. The FFT can significantly lower the work complexity of the convolutions, and with clever engineering can be used effectively for deep neural networks [16]. However, the FFT based approach uses a significant amount of temporary memory, since the filters must be padded to be the same size as the inputs.

  6. Cliff Woolley cliffwoolley. Follow. 40 followers · 1 following. NVIDIA. California. Achievements. x2 x2. Beta Send feedback. Block or Report. Popular repositories. jupyter_tensorboard Public. Forked from lspvic/jupyter_tensorboard. Start Tensorboard in Jupyter Notebook. Python 7 6. torch7 Public. Forked from torch/torch7. http://torch.ch. C.