SC13 Home > SC13 Schedule > SC13 Presentation - A Unified Sparse Matrix Format for Heterogeneous Systems

SCHEDULE: NOV 16-22, 2013

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A Unified Sparse Matrix Format for Heterogeneous Systems

SESSION: Doctoral Showcase - Early Research Showcase

EVENT TYPE: Doctoral Showcase - Early Research Showcases

TIME: 3:30PM - 5:00PM

SESSION CHAIR: Wojtek James Goscinski

Presenter(s):Moritz Kreutzer

ROOM:601/603

ABSTRACT:
Sparse matrix-vector multiplication (spMVM) is the most time-consuming kernel in many numerical algorithms and has been studied extensively on all modern processor and accelerator architectures. However, the optimal sparse matrix storage format is highly hardware-specific, which could become an obstacle when using heterogeneous systems. Also, the efficient utilization of the wide SIMD units in current ulti- and many-core processors in the context of unstructured spMVM has not undergone thorough research. In this work, SELL-C-sigma, a variant of Sliced ELLPACK, is suggested as a SIMD-friendly data format. The advantages of SELL-C-sigma compared to established formats like CRS and ELLPACK and its suitability on a variety of hardware platforms (Intel Sandy Bridge, Intel Xeon Phi and Nvidia Tesla K20) for a wide range of test matrices from different application areas are shown. This leads to a hardware-independent sparse matrix format, which achieves very high efficiency for all test matrices across all architectures.

Chair/Presenter Details:

Wojtek James Goscinski (Chair) - Monash University

Moritz Kreutzer - Erlangen Regional Computing Center

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