activity
20142020
most citedStrategy Preserving Compilation for Parallel Functional Code

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning

Rik Mulder, Valentin Radu, Christophe Dubach

The choice of convolutional routines (primitives) to implement neural networks has a tremendous impact on their inference performance (execution speed) on a given hardware platform…

cs.DC2017★ 5 cited

Strategy Preserving Compilation for Parallel Functional Code

Robert Atkey, Michel Steuwer, Sam Lindley +1

Graphics Processing Units (GPUs) and other parallel devices are widely available and have the potential for accelerating a wide class of algorithms. However, expert programming ski…

cs.DC2015★ 1 cited

Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)

Michel Steuwer, Christian Fensch, Christophe Dubach

Computing systems have become increasingly complex with the emergence of heterogeneous hardware combining multicore CPUs and GPUs. These parallel systems exhibit tremendous computa…

cs.PF2014

Proceedings of the 5th International Workshop on Adaptive Self-tuning Computing Systems 2015 (ADAPT'15)

Christophe Dubach, Grigori Fursin

This is the proceedings of the 5th International Workshop on Adaptive Self-tuning Computing Systems 2015 (ADAPT'15).

cs.DL2014

Community-driven reviewing and validation of publications

Grigori Fursin, Christophe Dubach

In this report, we share our practical experience on crowdsourcing evaluation of research artifacts and reviewing of publications since 2008. We also briefly discuss encountered pr…