NDLI: FACT: fast communication trace collection for parallel applications through program slicing

Content Provider	IEEE Xplore Digital Library
Author	Jidong Zhai Tianwei Sheng Jiangzhou He Wenguang Chen Weimin Zheng
Copyright Year	2009
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Jidong Zhai; Tianwei Sheng; Jiangzhou He; Wenguang Chen; Weimin Zheng)
Abstract	A proper understanding of communication patterns of parallel applications is important to optimize application performance and design better communication subsystems. Communication patterns can be obtained by analyzing communication traces. However, existing approaches to generate communication traces need to execute the entire parallel applications on full-scale systems that are time-consuming and expensive. In this paper, we propose a novel technique, called Fact, which can perform FAst Communication Trace collection for large-scale parallel applications on small-scale systems. Our idea is to reduce the original program to obtain a program slice through static analysis, and to execute the program slice to acquire the communication traces. The program slice preserves all the variables and statements in the original program relevant to spatial and volume communication attributes. Our idea is based on an observation that most computation and message contents in message-passing parallel applications are independent of these attributes, and therefore can be removed from the programs for the purpose of communication trace collection. We have implemented Fact and evaluated it with NPB programs and Sweep3D. The results show that Fact can preserve the spatial and volume communication attributes of original programs and reduce resource consumptions by two orders of magnitude in most cases. For example, Fact collects the communication traces of the Sweep3D for 512 processes on a 4-node (32 cores) platform in just 6.79 seconds, consuming 1.25 GB memory, while the original program takes 256.63 seconds and consumes 213.83 GB memory on a 32-node (512 cores) platform. Finally, we present an application of Fact.
Starting Page	1
Ending Page	12
File Size	734713
Page Count	12
File Format	PDF
ISBN	9781605587448
DOI	10.1145/1654059.1654087
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	parallel application communication pattern communication trace message passing program
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

FACT: fast communication trace collection for parallel applications through program slicing

FACT: fast communication trace collection for parallel applications through program slicing (2009)

FACT: Fast communication trace collection for parallel applications through program slicing (2009)

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FACT: fast communication trace collection for parallel applications through program slicing

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