NDLI: Workload design: selecting representative program-input pairs

Content Provider	IEEE Xplore Digital Library
Author	Eeckhout, L. Vandierendonck, H. De Bosschere, K.
Copyright Year	2002
Description	Author affiliation: Dept. of Electron. & Inf. Syst., Ghent Univ., Belgium (Eeckhout, L.; Vandierendonck, H.; De Bosschere, K.)
Abstract	Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) which benchmarks to select and (ii) which input data sets to select per benchmark. Unfortunately, it is impossible to select a huge number of benchmarks and respective input sets due to the large instruction counts per benchmark and due to limitations on the available simulation time. We use statistical data analysis techniques such as principal component analysis (PCA) and cluster analysis to efficiently explore the workload space. Within this workload space, different input data sets for a given benchmark can be displayed, a distance can be measured between program-input pairs that gives us an idea about their mutual behavioral differences and representative input data sets can be selected for the given benchmark. This methodology is validated by showing that program-input pairs that are close to each other in this workload space indeed exhibit similar behavior. The final goal is to select a limited set of representative benchmark-input pairs that span the complete workload space. Next to workload composition, there are a number of other possible applications, namely getting insight in the impact of input data sets on program behavior and profile-guided compiler optimizations.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Comput Archit. IEEE Comput. Soc. Tech. Committee on Parallel Process. ACM Special Interest Group on Comput. Architecture IFIP WG 10.3 IBM Microsoft Res. Univ. Virginia Dept. Comput. Sci
Starting Page	83
Ending Page	94
File Size	399111
Page Count	12
File Format	PDF
ISBN	0769516203
ISSN	1089795X
DOI	10.1109/PACT.2002.1106006
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Microprocessors Space exploration Information systems Data analysis Extraterrestrial measurements Program processors Design optimization Optimizing compilers Time to market
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Hardware and Architecture Software

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

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