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  1. 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.

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

  3. Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons. Python. cliffwoolley has 18 repositories available. Follow their code on GitHub.

  4. Cliff Woolley, Sr. Manager, Developer Technology Software, NVIDIA NCCL: ACCELERATED MULTI-GPU COLLECTIVE COMMUNICATIONS

  5. 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.

  6. 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. Come discuss NCCL's performance, features, and latest advances.

  7. 1 de dic. de 2014 · cuDNN: Efficient Primitives for Deep Learning. 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.