The BLIS Framework: Experiments in Portability

ISCAS OpenIR

	The BLIS Framework: Experiments in Portability
	Van Zee, FG; Smith, TM; Marker, B; Low, TM; De Geijn, RAV; Igual, FD; Smelyanskiy, M; Zhang, XY; Kistler, M; Austel, V; Gunnels, JA; Killough, L
	2016
发表期刊	ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE
ISSN	0098-3500
卷号	42 期号:2
摘要	BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra libraries. We demonstrate how BLIS acts as a productivity multiplier by using it to implement the level-3 BLAS on a variety of current architectures. The systems for which we demonstrate the framework include state-of-the-art general-purpose, low-power, and many-core architectures. We show, with very little effort, how the BLIS framework yields sequential and parallel implementations that are competitive with the performance of ATLAS, OpenBLAS (an effort to maintain and extend the GotoBLAS), and commercial vendor implementations such as AMD's ACML, IBM's ESSL, and Intel's MKL libraries. Although most of this article focuses on single-core implementation, we also provide compelling results that suggest the framework's leverage extends to the multithreaded domain.; BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra libraries. We demonstrate how BLIS acts as a productivity multiplier by using it to implement the level-3 BLAS on a variety of current architectures. The systems for which we demonstrate the framework include state-of-the-art general-purpose, low-power, and many-core architectures. We show, with very little effort, how the BLIS framework yields sequential and parallel implementations that are competitive with the performance of ATLAS, OpenBLAS (an effort to maintain and extend the GotoBLAS), and commercial vendor implementations such as AMD's ACML, IBM's ESSL, and Intel's MKL libraries. Although most of this article focuses on single-core implementation, we also provide compelling results that suggest the framework's leverage extends to the multithreaded domain.
收录类别	SCI
关键词	Algorithms Performance Linear Algebra Libraries High Performance Matrix Multiplication Blas
部门归属	Univ Texas Austin, Dept Comp Sci, 2317 Speedway,Stop D9500, Austin, TX 78712 USA. Univ Texas Austin, Inst Computat Engn & Sci, 2317 Speedway,Stop D9500, Austin, TX 78712 USA. Univ Complutense Madrid, Dept Arquitectura Comp & Automat, E-28040 Madrid, Spain. Intel Corp, Parallel Comp Lab, 2200 Mission Coll Blvd, Santa Clara, CA 95054 USA. Chinese Acad Sci, Inst Software, Beijing 100190, Peoples R China. Chinese Acad Sci, Grad Univ, Beijing 100190, Peoples R China. IBM Corp, Mail Stop 903-3L008,11501 Burnet Rd, Austin, TX 78758 USA. IBM Corp, Thomas J Watson Res Ctr, 1101 Kitchawan Rd, Yorktown Hts, NY 10598 USA. Cray Inc, 901 Fifth Ave,Suite 1000, Seattle, WA 98164 USA.
语种	英语
WOS记录号	WOS:000379410700002
引用统计
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/17325
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Van Zee, FG,Smith, TM,Marker, B,et al. The BLIS Framework: Experiments in Portability[J]. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE,2016,42(2).
APA	Van Zee, FG.,Smith, TM.,Marker, B.,Low, TM.,De Geijn, RAV.,...&Killough, L.(2016).The BLIS Framework: Experiments in Portability.ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE,42(2).
MLA	Van Zee, FG,et al."The BLIS Framework: Experiments in Portability".ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE 42.2(2016).

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