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

TitleHPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi
Publication TypeJournal Article
Year of Publication2015
AuthorsHaidar, A., J. Dongarra, K. Kabir, M. Gates, P. Luszczek, S. Tomov, and Y. Jia
JournalScientific Programming
Date Published01-2015
Keywordscommunication and computation overlap, dynamic runtime scheduling using dataflow dependences, hardware accelerators and coprocessors, Intel Xeon Phi processor, Many Integrated Cores, numerical linear algebra
AbstractThis 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, and in general provides to heterogeneous architectures of multicore with coprocessors the DLA functionality of the popular LAPACK library. 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 use of the high-performance BLAS, hardware-specific tuning, and a hybridization methodology where we split the algorithm into computational tasks of various granularities. Execution of those tasks is properly scheduled over the heterogeneous hardware components 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.
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