NDLI: A Lightweight Iterative Compilation Approach for Optimization Parameter Selection

Content Provider	IEEE Xplore Digital Library
Author	Yonggang Che Zhenghua Wang
Copyright Year	2006
Description	Author affiliation: Sch. of Comput., Nat. Univ. of Defense Technol., Changsha (Yonggang Che; Zhenghua Wang)
Abstract	A key step in program performance optimization is to determine optimal values for certain parameters. Static approaches determine these values based on analytical models. However, complex computer architectures and complex code structures limit the strength of them. Execution-driven approaches like iterative compilation determine these parameter values by executing the program with different parameter values and select the one with the shortest runtime. These approaches can find excellent results for they accurately account for all machine and program components. But the expensive compilation cost has limited their application scope to embedded applications and a small group of math kernels. We propose a low cost iterative compilation approach Lega (limited execution and genetic algorithm) for scientific program optimization parameter selection. It consists of three components: (1)parameterizations to make use of the native compiler; (2) program reduction transformations to reduce the time spent on evaluating each parameter value; (3)genetic algorithm to accelerate the parameter search process. We apply Lega to three math kernels and three SPEC95 benchmarks on two platforms. Results show that Lega can find excellent parameters comparable to previous iterative methods in much shorter time. Its cost is 5.4% of the original iterative compilation for the three math kernels on average. And its cost is 47.22% of the original iterative compilation for the three SPEC95 benchmarks on average, although the latter uses training input set instead of reference input set for the search procedure
Sponsorship	STEMES/IMSCCS Conference, USA The University of Iowa, USA Zhejing Univ., China Harbin Eng. Univ., China
Starting Page	318
Ending Page	325
File Size	321110
Page Count	8
File Format	PDF
ISBN	0769525814
DOI	10.1109/IMSCCS.2006.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Runtime Program processors Computer architecture Cost function Iterative algorithms Iterative methods Kernel Optimization Genetic algorithms
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