GPU-accelerated parallel optimization for sparse regularization

被引：1

作者：

Wang, Xingran ^{[1
]}

Liu, Tianyi ^{[1
]}

Minh Trinh-Hoang ^{[1
]}

Pesavento, Marius ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Commun Syst Grp, D-64283 Darmstadt, Germany

来源：

2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2020年

关键词：

block successive convex approximation; LASSO; SHRINKAGE;

D O I：

10.1109/sam48682.2020.9104328

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We prove the concept that the block successive convex approximation algorithm can be configured in a flexible manner to adjust for implementations on modern parallel hardware architecture. A shuffle order update scheme and an all-close termination criterion are considered for efficient performance and convergence comparisons. Four different implementations are studied and compared. Simulation results on hardware show the condition of using shuffle order and selection of block numbers and implementations.

引用

页数：5

共 50 条

[41] GPU-accelerated Path Rendering
Kilgard, Mark J.
Bolz, Jeff
ACM TRANSACTIONS ON GRAPHICS, 2012, 31 (06):
[42] GPU-Accelerated Charge Mapping
Sanaullah, Ahmed
Mojumder, Saiful A.
Lewis, Kathleen M.
Herbordt, Martin C.
2016 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC), 2016,
[43] Correction to: GPU-accelerated scanning path optimization in particle cancer therapy
Chao Wu
Yue-Hu Pu
Xiao Zhang
NuclearScienceandTechniques, 2019, 30 (05) : 147 - 147
[44] GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
Willsch, Dennis
Willsch, Madita
Jin, Fengping
Michielsen, Kristel
De Raedt, Hans
COMPUTER PHYSICS COMMUNICATIONS, 2022, 278
[45] Correction to: GPU-accelerated scanning path optimization in particle cancer therapy
Chao Wu
Yue-Hu Pu
Xiao Zhang
Nuclear Science and Techniques, 2019, 30
[46] G-RMOS: GPU-accelerated Riemannian Metric Optimization on Surfaces
Jo, Jeong Won
Gahm, Jin Kyu
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 150
[47] Porting and scaling OpenACC applications on massively-parallel, GPU-accelerated supercomputers
A. Hart
R. Ansaloni
A. Gray
The European Physical Journal Special Topics, 2012, 210 : 5 - 16
[48] GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data
Chen, Cen
Li, Kenli
Ouyang, Aijia
Tang, Zhuo
Li, Keqin
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (10): : 2740 - 2753
[49] GPU-Accelerated Dynamic Graph Coloring
Yang, Ying
Gu, Yu
Li, Chuanwen
Wan, Changyi
Yu, Ge
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 2019, 11448 : 296 - 299
[50] GPU-Accelerated Static Timing Analysis
Guo, Zizheng
Huang, Tsung-Wei
Lin, Yibo
2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD), 2020,

← 1 2 3 4 5 →