HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi

Journal Article · Thu Jan 01 00:00:00 EST 2015 · Scientific Programming

DOI:https://doi.org/10.1155/2015/502593· OSTI ID:1361290

Dongarra, Jack ^[1]; Gates, Mark ^[2]; Haidar, Azzam ^[2]; Jia, Yulu ^[2]; Kabir, Khairul ^[2]; Luszczek, Piotr ^[2]; Tomov, Stanimire ^[2]

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1. Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Manchester (United Kingdom)
2. Univ. of Tennessee, Knoxville, TN (United States)

This paper presents the design and implementation of several fundamental dense linear algebra (DLA) algorithms for multicore with Intel Xeon Phi coprocessors. In particular, we consider algorithms for solving linear systems. Further, we give an overview of the MAGMA MIC library, an open source, high performance library, that incorporates the developments presented here and, more broadly, provides the DLA functionality equivalent to that of the popular LAPACK library while targeting heterogeneous architectures that feature a mix of multicore CPUs and coprocessors. The LAPACK-compliance simplifies the use of the MAGMA MIC library in applications, while providing them with portably performant DLA. High performance is obtained through the use of the high-performance BLAS, hardware-specific tuning, and a hybridization methodology whereby we split the algorithm into computational tasks of various granularities. Execution of those tasks is properly scheduled over the heterogeneous hardware by minimizing data movements and mapping algorithmic requirements to the architectural strengths of the various heterogeneous hardware components. Our methodology and programming techniques are incorporated into the MAGMA MIC API, which abstracts the application developer from the specifics of the Xeon Phi architecture and is therefore applicable to algorithms beyond the scope of DLA.

• Research Organization: Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; National Science Foundation (NSF); Intel Science and Technology Center (ISTC) for Big Data (United States); Russian Scientific Fund (Russian Federation)
• Contributing Organization: Univ. of Manchester (United Kingdom)
• Grant/Contract Number: AC05-00OR22725; ACI-1339822; N14-11-00190
• OSTI ID: 1361290
• Journal Information: Scientific Programming, Vol. 2015; ISSN 1058-9244
• Publisher: Hindawi
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING