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A Survey of Machine Learning Applied to Computer Architecture Design

A Survey of Machine Learning Applied to Computer Architecture Design

26 September 2019
Drew Penney
Lizhong Chen
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "A Survey of Machine Learning Applied to Computer Architecture Design"

11 / 11 papers shown
Title
Improving Branch Prediction By Modeling Global History with
  Convolutional Neural Networks
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks
Stephen J. Tarsa
Chit-Kwan Lin
Gokce Keskin
G. Chinya
Hong Wang
48
27
0
20 Jun 2019
A Static Analysis-based Cross-Architecture Performance Prediction Using
  Machine Learning
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning
Newsha Ardalani
Urmish Thakker
Aws Albarghouthi
K. Sankaralingam
218
6
0
18 Jun 2019
Optimizing Routerless Network-on-Chip Designs: An Innovative
  Learning-Based Framework
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework
Ting-Ru Lin
Drew Penney
Massoud Pedram
Lizhong Chen
3DV
36
8
0
11 May 2019
Learning Multi-agent Communication under Limited-bandwidth Restriction
  for Internet Packet Routing
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing
Hangyu Mao
Zhibo Gong
Zhengchao Zhang
Zhen Xiao
Yan Ni
AI4CE
44
20
0
26 Feb 2019
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous
  Manycore Systems
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
B. K. Joardar
R. Kim
J. Doppa
P. Pande
Diana Marculescu
R. Marculescu
45
52
0
20 Oct 2018
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
76
1,042
0
04 Dec 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse
  Connectivity inspired by Network Science
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science
Decebal Constantin Mocanu
Elena Mocanu
Peter Stone
Phuong H. Nguyen
M. Gibescu
A. Liotta
175
633
0
15 Jul 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze
Yu-hsin Chen
Tien-Ju Yang
J. Emer
AAML3DV
120
3,022
0
27 Mar 2017
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
71
1,136
0
20 Apr 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
313
6,681
0
08 Jun 2015
A Tutorial on Principal Component Analysis
A Tutorial on Principal Component Analysis
Jonathon Shlens
89
2,496
0
03 Apr 2014
1