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Join us for an enlightening session on Parallel Computing hosted at the Maui High Performance Computing Center (MHPCC). We will explore key concepts, including the architecture of symmetric multi-processors (SMP), methods to efficiently balance workloads, and the significance of shared versus distributed memory. Additionally, we will introduce IBM's SMP hardware and the SQUALL system—an accessible resource for various academic and commercial applications. This workshop is aimed at those eager to tackle complex problems using advanced computing techniques.
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PET Summer Institute Kim Kido | Univ. Hawaii Manoa
Thursday, July 27 • Intro to parallel computing • Intro to MHPCC • Intro to IBM SMP hardware • Intro to SQUALL
Introduction to Parallel Computing Useful for analyzing complex problems requiring massive amounts of computation that can be divided into independent tasks
Introduction to Parallel Computing • Use of multi-processors to complete a task • Classification systems • How processor exectutes instructions: SIMD, MIMD • Memory type (shared, distributed) • Number of processors • Symmetric/asymmetric
IBM SMP Hardware Overview • Symmetric Multi-Processors • 2+ identical processors connected to single shared memory • Workload efficiently balanced by moving tasks between processors
IBM SMP Hardware Overview • Only one processor can access memory at a time • Alternatives • NUMA • Asymmetric • Beowulf (computer-clustered)
Introduction to MHPCC • Air Force Research Laboratory Center managed by UH • Provides >10,000,000 hoursof computing time annually Maui High Performance Computing Center
Introduction to MHPCC • Engineering • Meteorology • Biology • Computer science Fluid pathlines about Predator B fuselage. General Atomics Aeronautical Systems, Inc
Introduction to SQUALL • 2-node, 32 processor IBM SP system • Available to users that don't meet DoD HPCMP access requirements • Unclassified • Non-sensitive • Designed for government, commercial, academic users • Used in institute to run sample programs
Thank you ! Next: The Parallel Operating Environment! -->