output
20102026
most citedDeep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

3.5k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019 · cs.DCShow all

3 papers · 2 filters

cs.DC2019★ 31 cited

A Performance Study of the 2D Ising Model on GPUs

Joshua Romero, Mauro Bisson, Massimiliano Fatica +1

The simulation of the two-dimensional Ising model is used as a benchmark to show the computational capabilities of Graphic Processing Units (GPUs). The rich programming environment…

cs.DC2019★ 42 cited

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sangkug Lym, Donghyuk Lee, Mike O'Connor +2

Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the executio…

cs.DC2019★ 1 cited

Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions

Nikolaus Binder, Alexander Keller

We compare different methods for sampling from discrete probability distributions and introduce a new algorithm which is especially efficient on massively parallel processors, such…