Artiklar med krav på offentlig åtkomst - Saman AmarasingheLäs mer
Tillgängliga någonstans: 53
The tensor algebra compiler
F Kjolstad, S Kamil, S Chou, D Lugato, S Amarasinghe
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-29, 2017
Krav: US National Science Foundation, US Department of Energy
DAWG: A defense against cache timing attacks in speculative execution processors
V Kiriansky, I Lebedev, S Amarasinghe, S Devadas, J Emer
2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018
Krav: US National Science Foundation, US Department of Energy, US Department of …
Tiramisu: A polyhedral compiler for expressing fast and portable code
R Baghdadi, J Ray, MB Romdhane, E Del Sozzo, A Akkas, Y Zhang, ...
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019
Krav: US Department of Defense
Graphit: A high-performance graph dsl
Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe
Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018
Krav: US Department of Energy, US Department of Defense
Ithemal: Accurate, portable and fast basic block throughput estimation using deep neural networks
C Mendis, A Renda, S Amarasinghe, M Carbin
International Conference on machine learning, 4505-4515, 2019
Krav: US National Science Foundation, US Department of Defense
Making caches work for graph analytics
Y Zhang, V Kiriansky, C Mendis, S Amarasinghe, M Zaharia
2017 IEEE International Conference on Big Data (Big Data), 293-302, 2017
Krav: US National Science Foundation, US Department of Energy, US Department of …
Format abstraction for sparse tensor algebra compilers
S Chou, F Kjolstad, S Amarasinghe
Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018
Krav: US National Science Foundation, US Department of Energy, US Department of …
Halide: Decoupling algorithms from schedules for high-performance image processing
J Ragan-Kelley, A Adams, D Sharlet, C Barnes, S Paris, M Levoy, ...
Communications of the ACM 61 (1), 106-115, 2017
Krav: US National Science Foundation, US Department of Energy
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
Krav: US Department of Energy
Evaluating end-to-end optimization for data analytics applications in weld
S Palkar, J Thomas, D Narayanan, P Thaker, R Palamuttam, P Negi, ...
Proceedings of the VLDB Endowment 11 (9), 1002-1015, 2018
Krav: US National Science Foundation
Simit: A language for physical simulation
F Kjolstad, S Kamil, J Ragan-Kelley, DIW Levin, S Sueda, D Chen, ...
ACM Transactions on Graphics (TOG) 35 (2), 1-21, 2016
Krav: US National Science Foundation, US Department of Energy
Tensor algebra compilation with workspaces
F Kjolstad, W Ahrens, S Kamil, S Amarasinghe
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019
Krav: US National Science Foundation, US Department of Energy, US Department of …
Taco: A tool to generate tensor algebra kernels
F Kjolstad, S Chou, D Lugato, S Kamil, S Amarasinghe
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
Krav: US National Science Foundation, US Department of Energy
A sparse iteration space transformation framework for sparse tensor algebra
R Senanayake, C Hong, Z Wang, A Wilson, S Chou, S Kamil, ...
Proceedings of the ACM on Programming Languages 4 (OOPSLA), 1-30, 2020
Krav: US National Science Foundation, US Department of Energy, US Department of …
Helium: Lifting high-performance stencil kernels from stripped x86 binaries to Halide DSL code
C Mendis, J Bosboom, K Wu, S Kamil, J Ragan-Kelley, S Paris, Q Zhao, ...
Proceedings of the 36th ACM SIGPLAN Conference on Programming Language …, 2015
Krav: US Department of Energy
Optimizing ordered graph algorithms with graphit
Y Zhang, A Brahmakshatriya, X Chen, L Dhulipala, S Kamil, ...
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
Krav: US National Science Foundation, US Department of Energy, US Department of …
Compiler auto-vectorization with imitation learning
C Mendis, C Yang, Y Pu, DS Amarasinghe, M Carbin
Advances in Neural Information Processing Systems 32, 2019
Krav: US Department of Defense
Optimizing indirect memory references with milk
V Kiriansky, Y Zhang, S Amarasinghe
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
Krav: US National Science Foundation, US Department of Energy
Distributed halide
T Denniston, S Kamil, S Amarasinghe
ACM SIGPLAN Notices 51 (8), 1-12, 2016
Krav: US National Science Foundation, US Department of Energy
Variational study of two-nucleon systems with lattice QCD
S Amarasinghe, R Baghdadi, Z Davoudi, W Detmold, M Illa, A Parreño, ...
Physical Review D 107 (9), 094508, 2023
Krav: US National Science Foundation, US Department of Energy, US Department of …
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