NDLI: Multi-threading and one-sided communication in parallel LU factorization

Content Provider	IEEE Xplore Digital Library
Author	Husbands, Parry Yelick, Katherine
Copyright Year	2007
Description	Author affiliation: Lawrence Berkeley National Laboratory, Berkeley, CA (Husbands, Parry) \|\| University of California at Berkeley, Berkeley, CA (Yelick, Katherine)
Abstract	Dense LU factorization has a high ratio of computation to communication and, as evidenced by the High Performance Linpack (HPL) benchmark, this property makes it scale well on most parallel machines. Nevertheless, the standard algorithm for this problem has non-trivial dependence patterns which limit parallelism, and local computations require large matrices in order to achieve good single processor performance. We present an alternative programming model for this type of problem, which combines UPC's global address space with lightweight multithreading. We introduce the concept of memory-constrained lookahead where the amount of concurrency managed by each processor is controlled by the amount of memory available. We implement novel techniques for steering the computation to optimize for high performance and demonstrate the scalability and portability of UPC with Teraflop level performance on some machines, comparing favourably to other state-of-the-art MPI codes.
Starting Page	1
Ending Page	10
File Size	368977
Page Count	10
File Format	PDF
ISBN	9781595937643
DOI	10.1145/1362622.1362664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Parallel processing Delay Sparse matrices High performance computing Concurrent computing Multithreading Communication system control Costs Government Yarn multithreading dense linear algebra latency tolerance
Content Type	Text
Resource Type	Article

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