受强制性开放获取政策约束的文章 - Thierry Moreau了解详情
可在其他位置公开访问的文章：10 篇
{TVM}: An automated {End-to-End} optimizing compiler for deep learning
T Chen, T Moreau, Z Jiang, L Zheng, E Yan, H Shen, M Cowan, L Wang, ...
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Learning to optimize tensor programs
T Chen, L Zheng, E Yan, Z Jiang, T Moreau, L Ceze, C Guestrin, ...
Advances in Neural Information Processing Systems 31, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
TVM: end-to-end optimization stack for deep learning
T Chen, T Moreau, Z Jiang, H Shen, EQ Yan, L Wang, Y Hu, L Ceze, ...
arXiv preprint arXiv:1802.04799 11 (2018), 20, 2018
强制性开放获取政策： US National Science Foundation
A hardware–software blueprint for flexible deep learning specialization
T Moreau, T Chen, L Vega, J Roesch, E Yan, L Zheng, J Fromm, Z Jiang, ...
IEEE Micro 39 (5), 8-16, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
Exploiting errors for efficiency: A survey from circuits to applications
P Stanley-Marbell, A Alaghi, M Carbin, E Darulova, L Dolecek, ...
ACM Computing Surveys (CSUR) 53 (3), 1-39, 2020
强制性开放获取政策： Swiss National Science Foundation, UK Engineering and Physical Sciences …
MATIC: Learning around errors for efficient low-voltage neural network accelerators
S Kim, P Howe, T Moreau, A Alaghi, L Ceze, V Sathe
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Automatic generation of high-performance quantized machine learning kernels
M Cowan, T Moreau, T Chen, J Bornholt, L Ceze
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Energy-efficient neural network acceleration in the presence of bit-level memory errors
S Kim, P Howe, T Moreau, A Alaghi, L Ceze, VS Sathe
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (12), 4285-4298, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Exploring computation-communication tradeoffs in camera systems
A Mazumdar, T Moreau, S Kim, M Cowan, A Alaghi, L Ceze, M Oskin, ...
2017 IEEE International Symposium on Workload Characterization (IISWC), 177-186, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Relay: A high-level IR for deep learning
J Roesch, S Lyubomirsky, M Kirisame, J Pollock, L Weber, Z Jiang, ...
arXiv preprint arXiv:1904.08368, 2019
强制性开放获取政策： US National Science Foundation
出版信息和资助信息由计算机程序自动确定