Nicolas Vasilache

According to our database, Nicolas Vasilache authored at least 32 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

nelli: a lightweight frontend for MLIR.

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster

CoRR, 2023

Code Generation for In-Place Stencils.

Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

2022

Compiler Support for Sparse Tensor Computations in MLIR.

Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad

ACM Trans. Archit. Code Optim., 2022

TinyIREE: An ML Execution Environment for Embedded Systems From Compilation to Deployment.

Hsin-I Cindy Liu, Marius Brehler, Mahesh Ravishankar, Nicolas Vasilache, Ben Vanik, Stella Laurenzo

IEEE Micro, 2022

Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction.

Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik, Mahesh Ravishankar, Thomas Raoux, Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo, Albert Cohen

CoRR, 2022

Structured Operations: Modular Design of Code Generators for Tensor Compilers.

Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik, Mahesh Ravishankar, Thomas Raoux, Alexander Belyaev, Matthias Springer, Tobias Gysi, Diego Caballero, Stephan Herhut, Stella Laurenzo, Albert Cohen

Proceedings of the Languages and Compilers for Parallel Computing, 2022

2021

MLIR: Scaling Compiler Infrastructure for Domain Specific Computation.

Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

Progressive Raising in Multi-level IR.

Lorenzo Chelini, Andi Drebes, Oleksandr Zinenko, Albert Cohen, Nicolas Vasilache, Tobias Grosser, Henk Corporaal

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

ACM Trans. Archit. Code Optim., 2020

MLIR: A Compiler Infrastructure for the End of Moore's Law.

Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko

CoRR, 2020

2019

Openly revisiting derivative-free optimization.

Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions.

Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen

CoRR, 2018

2017

Training Language Models Using Target-Propagation.

Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache

CoRR, 2017

Diagonal Rescaling For Neural Networks.

Jean Lafond, Nicolas Vasilache, Léon Bottou

CoRR, 2017

2016

Learning Visual Features from Large Weakly Supervised Data.

Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation.

Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun

Proceedings of the 3rd International Conference on Learning Representations, 2015

2014

A Tale of Three Runtimes.

Nicolas Vasilache, Muthu Manikandan Baskaran, Thomas Henretty, Benoît Meister, Harper Langston, Sanket Tavarageri, Richard Lethin

CoRR, 2014

Tiling and optimizing time-iterated computations on periodic domains.

Uday Bondhugula, Vinayaka Bandishti, Albert Cohen, Guillain Potron, Nicolas Vasilache

Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013

Re-Introduction of communication-avoiding FMM-accelerated FFTs with GPU acceleration.

Harper Langston, Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin

Proceedings of the IEEE High Performance Extreme Computing Conference, 2013

Runnemede: An architecture for Ubiquitous High-Performance Computing.

Nicholas P. Carter, Aditya Agrawal, Shekhar Borkar, Romain Cledat, Howard David, Dave Dunning, Joshua B. Fryman, Ivan Ganev, Roger A. Golliver, Rob C. Knauerhase, Richard Lethin, Benoît Meister, Asit K. Mishra, Wilfred R. Pinfold, Justin Teller, Josep Torrellas, Nicolas Vasilache, Ganesh Venkatesh, Jianping Xu

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

Memory reuse optimizations in the R-Stream compiler.

Nicolas Vasilache, Muthu Manikandan Baskaran, Benoît Meister, Richard Lethin

Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, 2013

2012

Automatic communication optimizations through memory reuse strategies.

Muthu Manikandan Baskaran, Nicolas Vasilache, Benoît Meister, Richard Lethin

Proceedings of the 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2012

Efficient and scalable computations with sparse tensors.

Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin

Proceedings of the IEEE Conference on High Performance Extreme Computing, 2012

2011

R-Stream Compiler.

Benoît Meister, Nicolas Vasilache, David Wohlford, Muthu Manikandan Baskaran, Allen Leung, Richard Lethin

Proceedings of the Encyclopedia of Parallel Computing, 2011

Loop transformations: convexity, pruning and optimization.

Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam, P. Sadayappan, Nicolas Vasilache

Proceedings of the 38th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2011

2010

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction.

Allen Leung, Nicolas Vasilache, Benoît Meister, Muthu Manikandan Baskaran, David Wohlford, Cédric Bastoul, Richard Lethin

Proceedings of 3rd Workshop on General Purpose Processing on Graphics Processing Units, 2010

2007

Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time.

Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, Nicolas Vasilache

Proceedings of the Fifth International Symposium on Code Generation and Optimization (CGO 2007), 2007

Automatic Correction of Loop Transformations.

Nicolas Vasilache, Albert Cohen, Louis-Noël Pouchet

Proceedings of the 16th International Conference on Parallel Architectures and Compilation Techniques (PACT 2007), 2007

2006

Semi-Automatic Composition of Loop Transformations for Deep Parallelism and Memory Hierarchies.

Sylvain Girbal, Nicolas Vasilache, Cédric Bastoul, Albert Cohen, David Parello, Marc Sigler, Olivier Temam

Int. J. Parallel Program., 2006

Violated dependence analysis.

Nicolas Vasilache, Cédric Bastoul, Albert Cohen, Sylvain Girbal

Proceedings of the 20th Annual International Conference on Supercomputing, 2006

Polyhedral Code Generation in the Real World.

Nicolas Vasilache, Cédric Bastoul, Albert Cohen

Proceedings of the Compiler Construction, 15th International Conference, 2006

2005

Facilitating the search for compositions of program transformations.

Albert Cohen, Marc Sigler, Sylvain Girbal, Olivier Temam, David Parello, Nicolas Vasilache

Proceedings of the 19th Annual International Conference on Supercomputing, 2005