206 citations · 535 across the 22 of their papers we have counts for
8 papers · 1 filter
Reinventing High Performance Computing: Challenges and Opportunities
Daniel Reed, Dennis Gannon, Jack Dongarra
The world of computing is in rapid transition, now dominated by a world of smartphones and cloud services, with profound implications for the future of advanced scientific computin…
Efficient Exascale Discretizations: High-Order Finite Element Methods
Tzanio Kolev, Paul Fischer, Misun Min +27
Efficient exploitation of exascale architectures requires rethinking of the numerical algorithms used in many large-scale applications. These architectures favor algorithms that ex…
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks
Linnan Wang, Wei Wu, Junyu Zhang +4
The performance and efficiency of distributed training of Deep Neural Networks highly depend on the performance of gradient averaging among all participating nodes, which is bounde…
Optimal Checkpointing Period: Time vs. Energy
Guillaume Aupy, Anne Benoit, Thomas Hérault +2
This short paper deals with parallel scientific applications using non-blocking and periodic coordinated checkpointing to enforce resilience. We provide a model and detailed formul…
Hierarchical QR factorization algorithms for multi-core cluster systems
Jack Dongarra, Mathieu Faverge, Thomas Herault +2
This paper describes a new QR factorization algorithm which is especially designed for massively parallel platforms combining parallel distributed multi-core nodes. These platforms…
QR Factorization of Tall and Skinny Matrices in a Grid Computing Environment
Emmanuel Agullo, Camille Coti, Jack Dongarra +2
Previous studies have reported that common dense linear algebra operations do not achieve speed up by using multiple geographical sites of a computational grid. Because such operat…