受强制性开放获取政策约束的文章 - Charlie Tai了解详情
可在其他位置公开访问的文章：6 篇
Slide: In defense of smart algorithms over hardware acceleration for large-scale deep learning systems
B Chen, T Medini, J Farwell, C Tai, A Shrivastava
Proceedings of Machine Learning and Systems 2, 291-306, 2020
强制性开放获取政策： US National Science Foundation, US Department of Defense
Don’t forget the I/O when allocating your LLC
Y Yuan, M Alian, Y Wang, R Wang, I Kurakin, C Tai, NS Kim
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
强制性开放获取政策： US National Science Foundation
Rambda: Rdma-driven acceleration framework for memory-intensive µs-scale datacenter applications
Y Yuan, J Huang, Y Sun, T Wang, J Nelson, DRK Ports, Y Wang, R Wang, ...
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
强制性开放获取政策： US National Science Foundation
QEI: Query acceleration can be generic and efficient in the cloud
Y Yuan, Y Wang, R Wang, RBR Chowhury, C Tai, NS Kim
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
强制性开放获取政策： US National Science Foundation
Prompt: Learning dynamic resource allocation policies for network applications
D Penney, B Li, JJ Sydir, L Chen, C Tai, S Lee, E Walsh, T Long
Future Generation Computer Systems 145, 164-175, 2023
强制性开放获取政策： US National Science Foundation
Rapid: Enabling fast online policy learning in dynamic public cloud environments
D Penney, B Li, L Chen, JJ Sydir, A Drewek-Ossowicka, R Illikkal, C Tai, ...
Neurocomputing 558, 126737, 2023
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