Ivy Bo Peng

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2018

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Ivy Bo Peng's perspective

Ordered by how strongly the researchers Ivy Bo Peng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. cuDNN: Efficient Primitives for Deep Learning
3. TensorFlow: A system for large-scale machine learning
4. In-datacenter performance analysis of a tensor processing unit
5. Deep Learning
6. Deep Learning with Limited Numerical Precision
7. Mixed Precision Training
8. Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
9. A million spiking-neuron integrated circuit with a scalable communication network and interface
10. A reconfigurable fabric for accelerating large-scale datacenter services

Their papers

• NVIDIA Tensor Core Programmability, Performance & Precision (2018) — 474 citations