Oesterreichisches Forschungsinstitut fuer Artificial Intelligence (OeFAI)
Schottengasse 3, A-1010 Wien
Tel.+43-1-53532810,5336112
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VORTRAG
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Prof.Dr.Susanne HAMBRUSCH
Purdue University
West Lafayette, Indiana
USA
High Performance Computing:
Can We Achieve Scalability and Usability?
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High performance computing must meet seemingly contradictory goals:
software development should be carried out in an architecture- and
technology-independent environment, but both algorithms and system
software should take full advantage of the hardware features of
potentially diverse MPP (Massively Parallel Processors) systems.
Distributed memory, message-passing MPPs, which include the Intel
Paragon, IBM SP-2, and Cray T3D machines, have emerged as major high
performance architectures.
In this talk we discuss the impact of different MPP features on the
performance of scalable algorithms. We show how parameters like the
number of processors, the message size, cost of setting up a message,
the bandwidth of the processors and the network, the latency, and the
bisection width influence scalability. We describe a parallel model,
the C^3-model, which gives an accurate prediction of algorithm per-
formance and supports a realistic scalability metric. We argue that
scalability is achieved by the use of poly-algorithms which employ
a parallel model to make algorithm selection and that usability is
enhanced through libraries incorporating poly-algorithms. We validate
our approach for regular and irregular communication operations and
discuss performance results for the Intel Paragon.
Zeit: Donnerstag, 1.August 1996, 18:30 Uhr pktl.
Ort: OeFAI, Schottengasse 3, 1010 Wien 1.