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CHAOS: A Parallelization Scheme for Training Convolutional Neural
  Networks on Intel Xeon Phi

CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi

25 February 2017
Andre Viebke
Suejb Memeti
Sabri Pllana
Ajith Abraham
ArXivPDFHTML

Papers citing "CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi"

3 / 3 papers shown
Title
A Theory of I/O-Efficient Sparse Neural Network Inference
A Theory of I/O-Efficient Sparse Neural Network Inference
Niels Gleinig
Tal Ben-Nun
Torsten Hoefler
27
0
0
03 Jan 2023
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning
  Study
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study
Himanshu Sharma
Elise Jennings
BDL
27
3
0
23 May 2020
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
703
0
26 Feb 2018
1