NDLI: Multi-platform Auto-vectorization

Content Provider	ACM Digital Library
Author	Nuzman, Dorit Henderson, Richard
Abstract	The recent proliferation of the Single Instruction Multiple Data (SIMD) model has lead to a wide variety of implementations. These have been incorporated into many platforms, from gaming machines and DSPs to general purpose architectures. In this paper we present an automatic vectorizer as implemented in GCC, the most multi-targetable compiler available today. We discuss the considerations involved in developing a multi-platform vectorization technology, and demonstrate how our vectorization scheme is suited to a variety of SIMD architectures. Experiments on four different SIMD platforms demonstrate that our automatic vectorization scheme is able to efficiently support individual platforms, achieving significant speedups on key kernels.
Starting Page	281
Ending Page	294
Page Count	14
File Format	PDF
ISBN	0769524990
DOI	10.1109/CGO.2006.25
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-03-26
Access Restriction	Subscribed
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
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Multi-platform Auto-vectorization