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Structured Programming For Multiprocessors PPT

STRUCTURED PROGRAMMING FOR MULTIPROCESSORS PPT

Instructor:John Thornley

Overview of multiprocessor architectures with an emphasis on shared-memory architectures.
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Overview of multithreaded programming for shared-memory multiprocessors.
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Overview of structured multithreaded programming and Sthreads. Introduction to multithreadable blocks and the sthread_block function.
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Multithreaded recursive mergesort as an example of multithreadable blocks and the sthread_block function. Discussion of Homework One.
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Overview of conditions for using pragma multithreadable: restrictions on shared variables and control flow. Introduction to multithreadable regular for loops and the sthread_regular_for_loop function.
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Multithreaded matrix multiplication as an example of multithreadable regular for loops and the sthread_regular_for_loop function. Chunk size and thread mappings for multithreadable regular for loops. Cache effects in matrix multiplication. Discussion of Homework Two.
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Introduction to barrier synchronization and the sthread_barrier functions.
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Review of caching and memory access on quad-processor Pentium Pros. Advice on developing an efficient multithreaded matrix multiply. Description of the PSRS (Parallel Sorting by Regular Sampling) algorithm. Discussion of Homework Three.
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Performance issues of the PSRS algorithm. Discussion of general multithreaded programming performance issues: multithreading overheads, load balancing, granularity, memory contention, underlying algorithm.
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Timing the execution overheads of multithreaded regular for loops and barriers. Multithreaded All-Pairs Shortest-Paths (the Floyd-Warshall algorithm) as an example of the use of barriers. Discussion of Homework Four.
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Introduction to synchronization flags and the sthread_flag functions.
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Mergesort of a stream as an example of using synchronization flags. Discussion of Homework Five.
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Introduction to synchronization counters and the sthread_counter functions. LU factorization as an example of the use of counters.
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Discussion of Homework Six – All-Pairs Shortest-Paths revisted.
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Guest lecture by Dr. Rajesh Bordawekar on distributed shared-memory architectures, in particular the SGI/Cray Origin and HP/Convex Exemplar.
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Discussion of Homework Seven – the Skyline Matrix Problem.
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