Skip to Main content Skip to Navigation
Conference papers

LU Decomposition on Cell Broadband Engine: An Empirical Study to Exploit Heterogeneous Chip Multiprocessors

Abstract : To meet the needs of high performance computing, the Cell Broadband Engine owns many features that differ from traditional processors, such as the large number of synergistic processor elements, large register files, the ability to hide main-storage latency with concurrent computation and DMA transfers. The exploitation of those features requires the programmer to carefully tailor programs and simutaneously deal with various performance factors, including locality, load balance, communication overhead, and multi-level parallelism. These factors, unfortunately, are dependent on each other; an optimization that enhances one factor may degrade another. This paper presents our experience on optimizing LU decomposition, one of the commonly used algebra kernels in scientific computing, on Cell Broadband Engine. The optimizations exploit task-level, data-level, and communication-level parallelism. We study the effects of different task distribution strategies, prefetch, and software cache, and explore the tradeoff among different performance factors, stressing the interactions between different optimizations. This work offers some insights in the optimizations on heterogenous multi-core processors, including the selection of programming models, considerations in task distribution, and the holistic perspective required in optimizations.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, August 11, 2014 - 9:55:51 AM
Last modification on : Monday, February 25, 2019 - 5:36:31 PM
Long-term archiving on: : Thursday, November 27, 2014 - 10:52:39 AM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Feng Mao, Xipeng Shen. LU Decomposition on Cell Broadband Engine: An Empirical Study to Exploit Heterogeneous Chip Multiprocessors. IFIP International Conference on Network and Parallel Computing (NPC), Sep 2010, Zhengzhou, China. pp.61-75, ⟨10.1007/978-3-642-15672-4_7⟩. ⟨hal-01054956⟩



Record views


Files downloads