Technology Driving Forces for HPCC |
Overview of What and Why is Computational Science
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Elementary Discussion of Parallel Computing in the "real-world"
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Sequential Computer Architecture |
001 CPS615 -- Base Course for the Simulation Track of Computational Science Fall Semester 1995 Foilsets A 002 Contents of Foilsets A of CPS615 Computational Science 003 The Technology Driving Forces for HPCC 004 Effect of Feature Size on Performance 005 Growing Logic Chip Density 006 Trends in Feature and Die Size as a Function of Time 007 Supercomputer Memory Sizes and trends in RAM Density 008 Comparison of Trends in RAM Density and CPU Performance Increases 009 National Roadmap for Semiconductor Technology --1992 010 CMOS Technology and Parallel Processor Chip Projections 011 What and Why is Computational Science ? 012 Parallelism Implies Major Changes which have significant educational Implications 013 Program in Computational Science Implemented within current academic framework 014 Program in Information Age Computational Science Implemented Within Current Academic Program 015 Elementary Discussion of Parallel Computing 016 Single nCUBE2 CPU Chip 017 64 Node nCUBE Board 018 CM-5 in NPAC Machine Room 019 Basic METHODOLOGY of Parallel Computing 020 Concurrent Computation as a Mapping Problem -I 021 Concurrent Computation as a Mapping Problem - II 022 Concurrent Computation as a Mapping Problem - III 023 Finite Element Mesh From Nastran (mesh only shown in upper half) 024 A Simple Equal Area Decomposition 025 Decomposition After Annealing (one particularly good but nonoptimal decomposition) 026 Parallel Processing and Society 027 Concurrent Construction of a Wall Using N = 8 Bricklayers Decomposition by Vertical Sections 028 Quantitative Speed-Up Analysis for Construction of Hadrian's Wall 029 Amdahl's law for Real World Parallel Processing 030 Pipelining --Another Parallel Processing Strategy for Hadrian's Wall 031 Hadrian's Wall Illustrates that the Topology of Processor Must Include Topology of Problem 032 General Speed Up Analysis 033 Comparison of The Complete Problem to the subproblems formed in domain decomposition 034 Hadrian's Wall Illustrating an Irregular but Homogeneous Problem 035 Some Problems are Inhomogeneous Illustrated by: An Inhomogeneous Hadrian Wall with Decoration 036 Global and Local Parallelism Illustrated by Hadrian's Wall 037 Parallel I/O Illustrated by Concurrent Brick Delivery for Hadrian's Wall Bandwidth of Trucks and Roads Matches that of Masons 038 Nature's Concurrent Computers 039 Comparison of Concurrent Processing in Society and Computing 040 Sequential Computer Architecture 041 Sequential Computer Architecture 042 Instruction Flow in A Simple Machine Pipeline 043 Examples of Superpipelined (a) and superscaler (b) machine pipelines