An Adaptive, Scalable, and Portable Technique for Speeding Up MPI-Based Applications

被引：0

作者：

Filgueira, Rosa ^{[1
]}

Atkinson, Malcolm ^{[1
]}

Nunez, Alberto ^{[2
]}

Fernandez, Javier ^{[3
]}

机构：

[1] Univ Edinburgh, Sch Informat, Edinburgh EH8 9AB, Midlothian, Scotland

[2] Univ Complutense Madrid, Dept Sistemas Informat Computac, Madrid 28040, Spain

[3] Univ Carlos III Madrid, Dept Arquitectura Comp, Leganes 3028911, Spain

来源：

EURO-PAR 2012 PARALLEL PROCESSING | 2012年 / 7484卷

关键词：

MPI Library; Parallel techniques; High-Performance Computing; Compression algorithms; Adaptive systems; Portable optimizations; FLOATING-POINT DATA; COMPRESSION; PERFORMANCE; IMPLEMENTATION;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper presents a portable optimization for MPI communications, called PRAcTICaL-MPI (Portable Adaptive Compression Library- MPI). PRAcTICaL-MPI reduces the data volume exchanged among processes by using lossless compression and offers two main advantages. Firstly, it is independent of the MPI implementation and the application used. Secondly, it allows for turning the compression on and off and selecting the most appropriate compression algorithm at runtime, depending on the characteristics of each message and on network performance. We have validated PRAcTICaL-MPI in different MPI implementations and HPC clusters. The evaluation shows that compressing MPI messages with the best algorithm and only when it is worthwhile, we obtain a great reduction in the overall execution time for many of the scenarios considered.

引用

页码：729 / 740

页数：12

共 50 条

[21] The Removal of ocular artifacts from EEG Signals: an Adaptive Modeling technique for Portable Applications
Li, Yang
Hu, Bin
Zhao, Qinglin
Peng, Hong
Shi, Yujun
Li, Yunpeng
Moore, Philip
2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2013,
[22] Speeding-up adaptive heuristic critic learning with FPGA-based unsupervised clustering
PerezUribe, A
Sanchez, E
PROCEEDINGS OF 1997 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '97), 1997, : 685 - 689
[23] Speeding up an Adaptive Filter based ECG Signal Pre-processing on Embedded Architectures
Mejhoudi, Safa
Latif, Rachid
Saddik, Amine
Jenkal, Wissam
El Ouardi, Abdelhafid
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (05) : 361 - 369
[24] An Adaptive Hybrid and Cluster-Based Model for Speeding Up the k-NN Classifier
Ougiaroglou, Stefanos
Evangelidis, Georgios
Dervos, Dimitris A.
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT II, 2012, 7209 : 163 - 175
[25] Dynamic Gaussian selection technique for speeding up HMM-based continuous speech recognition
Cai, Jun
Bouselmi, Ghazi
Fohr, Dominique
Laprie, Yves
2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 4461 - 4464
[26] ACURDION: An Adaptive Clustering-based Algorithm for Tracing Large-scale MPI Applications
Bahmani, Amir
Mueller, Frank
PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 785 - 792
[27] Adaptive reference voltage-based MPPT technique for PV applications
Lasheen, Mohamed
Rahman, Ali Kamel Abdel
Abdel-Salam, Mazen
Ookawara, Shinichi
IET RENEWABLE POWER GENERATION, 2017, 11 (05) : 715 - 722
[28] Costing Analysis of Scalable Carbon-Based Perovskite Modules Using Bottom Up Technique
Kajal, Priyanka
Verma, Bhupesh
Vadaga, Satya Gangadhara Rao
Powar, Satvasheel
GLOBAL CHALLENGES, 2022, 6 (02)
[29] A Geometric Estimation Technique Based on Adaptive M-Estimators: Algorithm and Applications
Li, Jiayuan
Hu, Qingwu
Ai, Mingyao
Wang, Shaohua
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 5613 - 5626
[30] A spread spectrum based scalable blind digital watermarking technique for multi-purpose multimedia applications
Ahmad, S
Mirza, SM
Qamar, S
E-TECH 2004, 2004, : 10 - 16

← 1 2 3 4 5 →