Jeffrey S. Vetter
Hardware and Architecture · 2002–2018
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 15 citations into it
- Computer Networks and Communications — 13 citations into it
Whom Jeffrey S. Vetter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jeffrey S. Vetter's perspective
Ordered by how strongly the researchers Jeffrey S. Vetter trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- cuDNN: Efficient Primitives for Deep Learning
- TensorFlow: A system for large-scale machine learning
- In-datacenter performance analysis of a tensor processing unit
- Benchmarking GPUs to tune dense linear algebra
- Deep Learning
- Deep Learning with Limited Numerical Precision
- OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems (Computing in science & engineering (Print))
- Mixed Precision Training
- Scan primitives for GPU computing (GH '07)
Their papers
- NVIDIA Tensor Core Programmability, Performance & Precision (2018) — 474 citations
- A Survey of CPU-GPU Heterogeneous Computing Techniques (2015) — 536 citations
- The International Exascale Software Project roadmap (2011) — 769 citations
- The Scalable Heterogeneous Computing (SHOC) benchmark suite (2010) — 717 citations
- An Overview of the BlueGene/L Supercomputer (2002) — 576 citations