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Nicolas Vasilache
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2020 – today
- 2023
- [c20]Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen:
Code Generation for In-Place Stencils. CGO 2023: 2-13 - [i10]Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster:
nelli: a lightweight frontend for MLIR. CoRR abs/2307.16080 (2023) - 2022
- [j4]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): 9-16 (2022) - [j3]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): 50:1-50:25 (2022) - [c19]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: 141-156 - [i9]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 abs/2202.03293 (2022) - [i8]Aart J. C. Bik, Penporn Koanantakool, Tatiana Shpeisman, Nicolas Vasilache, Bixia Zheng, Fredrik Kjolstad:
Compiler Support for Sparse Tensor Computations in MLIR. CoRR abs/2202.04305 (2022) - [i7]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 abs/2205.14479 (2022) - 2021
- [c18]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: 2-14 - [c17]Lorenzo Chelini, Andi Drebes, Oleksandr Zinenko, Albert Cohen, Nicolas Vasilache, Tobias Grosser, Henk Corporaal:
Progressive Raising in Multi-level IR. CGO 2021: 15-26 - 2020
- [j2]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): 38:1-38:26 (2020) - [i6]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 abs/2002.11054 (2020)
2010 – 2019
- 2019
- [c16]Jérémy Rapin, Pauline Dorval, Jules Pondard, Nicolas Vasilache, Marie-Liesse Cauwet, Camille Couprie, Olivier Teytaud:
Openly revisiting derivative-free optimization. GECCO (Companion) 2019: 267-268 - 2018
- [i5]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 abs/1802.04730 (2018) - 2017
- [i4]Sam Wiseman, Sumit Chopra, Marc'Aurelio Ranzato, Arthur Szlam, Ruoyu Sun, Soumith Chintala, Nicolas Vasilache:
Training Language Models Using Target-Propagation. CoRR abs/1702.04770 (2017) - [i3]Jean Lafond, Nicolas Vasilache, Léon Bottou:
Diagonal Rescaling For Neural Networks. CoRR abs/1705.09319 (2017) - 2016
- [c15]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. ECCV (7) 2016: 67-84 - 2015
- [c14]Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, Yann LeCun:
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation. ICLR 2015 - [i2]Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache:
Learning Visual Features from Large Weakly Supervised Data. CoRR abs/1511.02251 (2015) - 2014
- [c13]Uday Bondhugula, Vinayaka Bandishti, Albert Cohen, Guillain Potron, Nicolas Vasilache:
Tiling and optimizing time-iterated computations on periodic domains. PACT 2014: 39-50 - [i1]Nicolas Vasilache, Muthu Manikandan Baskaran, Thomas Henretty, Benoît Meister, Harper Langston, Sanket Tavarageri, Richard Lethin:
A Tale of Three Runtimes. CoRR abs/1409.1914 (2014) - 2013
- [c12]Nicolas Vasilache, Muthu Manikandan Baskaran, Benoît Meister, Richard Lethin:
Memory reuse optimizations in the R-Stream compiler. GPGPU@ASPLOS 2013: 42-53 - [c11]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: 198-209 - [c10]Harper Langston, Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin:
Re-Introduction of communication-avoiding FMM-accelerated FFTs with GPU acceleration. HPEC 2013: 1-6 - 2012
- [c9]Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin:
Efficient and scalable computations with sparse tensors. HPEC 2012: 1-6 - [c8]Muthu Manikandan Baskaran, Nicolas Vasilache, Benoît Meister, Richard Lethin:
Automatic communication optimizations through memory reuse strategies. PPoPP 2012: 277-278 - 2011
- [c7]Louis-Noël Pouchet, Uday Bondhugula, Cédric Bastoul, Albert Cohen, J. Ramanujam, P. Sadayappan, Nicolas Vasilache:
Loop transformations: convexity, pruning and optimization. POPL 2011: 549-562 - [r1]Benoît Meister, Nicolas Vasilache, David Wohlford, Muthu Manikandan Baskaran, Allen Leung, Richard Lethin:
R-Stream Compiler. Encyclopedia of Parallel Computing 2011: 1756-1765 - 2010
- [c6]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: 51-61
2000 – 2009
- 2007
- [c5]Nicolas Vasilache, Albert Cohen, Louis-Noël Pouchet:
Automatic Correction of Loop Transformations. PACT 2007: 292-304 - [c4]Louis-Noël Pouchet, Cédric Bastoul, Albert Cohen, Nicolas Vasilache:
Iterative Optimization in the Polyhedral Model: Part I, One-Dimensional Time. CGO 2007: 144-156 - 2006
- [j1]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): 261-317 (2006) - [c3]Nicolas Vasilache, Cédric Bastoul, Albert Cohen:
Polyhedral Code Generation in the Real World. CC 2006: 185-201 - [c2]Nicolas Vasilache, Cédric Bastoul, Albert Cohen, Sylvain Girbal:
Violated dependence analysis. ICS 2006: 335-344 - 2005
- [c1]Albert Cohen, Marc Sigler, Sylvain Girbal, Olivier Temam, David Parello, Nicolas Vasilache:
Facilitating the search for compositions of program transformations. ICS 2005: 151-160
Coauthor Index
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