Nicolas Vasilache

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 17

Top Topics

Execution Environment

Top Venues

ACM Trans. Archit. Code Optim.

GECCO (Companion)

Publications

Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster
nelli: a lightweight frontend for MLIR. CoRR (2023)
Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen
Code Generation for In-Place Stencils. CGO (2023)
Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad
Compiler Support for Sparse Tensor Computations in MLIR. ACM Trans. Archit. Code Optim. 19 (4) (2022)
Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad
Compiler Support for Sparse Tensor Computations in MLIR. CoRR (2022)
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
Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction. CoRR (2022)
Hsin-I Cindy Liu, Marius Brehler, Mahesh Ravishankar, Nicolas Vasilache, Ben Vanik, Stella Laurenzo
TinyIREE: An ML Execution Environment for Embedded Systems From Compilation to Deployment. IEEE Micro 42 (5) (2022)
Hsin-I Cindy Liu, Marius Brehler, Mahesh Ravishankar, Nicolas Vasilache, Ben Vanik, Stella Laurenzo
TinyIREE: An ML Execution Environment for Embedded Systems from Compilation to Deployment. CoRR (2022)
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
Structured Operations: Modular Design of Code Generators for Tensor Compilers. LCPC (2022)
Chris Lattner, Mehdi Amini, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko
MLIR: Scaling Compiler Infrastructure for Domain Specific Computation. CGO (2021)
Lorenzo Chelini, Andi Drebes, Oleksandr Zinenko, Albert Cohen, Nicolas Vasilache, Tobias Grosser, Henk Corporaal
Progressive Raising in Multi-level IR. CGO (2021)
Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko
MLIR: A Compiler Infrastructure for the End of Moore's Law. CoRR (2020)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
The Next 700 Accelerated Layers: From Mathematical Expressions of Network Computation Graphs to Accelerated GPU Kernels, Automatically. ACM Trans. Archit. Code Optim. 16 (4) (2020)
Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud
Openly revisiting derivative-free optimization. GECCO (Companion) (2019)
Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. CoRR (2018)
Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache
Training Language Models Using Target-Propagation. CoRR (2017)
Jean Lafond, Nicolas Vasilache, Léon Bottou
Diagonal Rescaling For Neural Networks. CoRR (2017)
Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache
Learning Visual Features from Large Weakly Supervised Data. ECCV (7) (2016)
Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache
Learning Visual Features from Large Weakly Supervised Data. CoRR (2015)
Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR (2015)
Nicolas Vasilache, Muthu Manikandan Baskaran, Thomas Henretty, Benoît Meister, Harper Langston, Sanket Tavarageri, Richard Lethin
A Tale of Three Runtimes. CoRR (2014)
Uday Bondhugula, Vinayaka Bandishti, Albert Cohen, Guillain Potron, Nicolas Vasilache
Tiling and optimizing time-iterated computations on periodic domains. PACT (2014)
Nicolas Vasilache, Muthu Manikandan Baskaran, Benoît Meister, Richard Lethin
Memory reuse optimizations in the R-Stream compiler. GPGPU@ASPLOS (2013)
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
Runnemede: An architecture for Ubiquitous High-Performance Computing. HPCA (2013)
Harper Langston, Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin
Re-Introduction of communication-avoiding FMM-accelerated FFTs with GPU acceleration. HPEC (2013)
Muthu Manikandan Baskaran, Nicolas Vasilache, Benoît Meister, Richard Lethin
Automatic communication optimizations through memory reuse strategies. PPOPP (2012)
Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin
Efficient and scalable computations with sparse tensors. HPEC (2012)
Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam, P. Sadayappan, Nicolas Vasilache
Loop transformations: convexity, pruning and optimization. POPL (2011)
Allen Leung, Nicolas Vasilache, Benoît Meister, Muthu Manikandan Baskaran, David Wohlford, Cédric Bastoul, Richard Lethin
A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction. GPGPU (2010)
Nicolas Vasilache, Albert Cohen, Louis-Noël Pouchet
Automatic Correction of Loop Transformations. PACT (2007)
Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, Nicolas Vasilache
Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time. CGO (2007)
Sylvain Girbal, Nicolas Vasilache, Cédric Bastoul, Albert Cohen, David Parello, Marc Sigler, Olivier Temam
Semi-Automatic Composition of Loop Transformations for Deep Parallelism and Memory Hierarchies. Int. J. Parallel Program. 34 (3) (2006)
Nicolas Vasilache, Cédric Bastoul, Albert Cohen, Sylvain Girbal
Violated dependence analysis. ICS (2006)
Nicolas Vasilache, Cédric Bastoul, Albert Cohen
Polyhedral Code Generation in the Real World. CC (2006)
Albert Cohen, Marc Sigler, Sylvain Girbal, Olivier Temam, David Parello, Nicolas Vasilache
Facilitating the search for compositions of program transformations. ICS (2005)