Nicolas Vasilache

35 papers A* 2A 6B 4Journal 14Unranked 8

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