Find this at
http://www.npac.syr.edu/users/gcf/cps615intro98/
CPS615-Introduction-Course,Driving Technology and HPCC Current Status and Futures
Given by Geoffrey C. Fox, (Some Culler, Koelbel material) at CPS615 Basic Simulation Track for Computational Science on Fall Semester 98. Foils prepared 23 August 1998
We Introduce Computational Science and Driving Forces
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Technology Advances and Commodity Trends
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Inevitability of Parallelism
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Integration of Distributed and Parallel Computing
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Comparison with Internetics
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We give a simple overview of parallel architectures today with distributed, shared or distributed shared memory
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We describe data, functional and pleasing parallelism
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We describe principles of parallel programming using atmospheric simulation as an example
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We describe the growing importance of Java
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We explain pragmatic choices
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MPI with Fortran and C today
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Java Grande is future?
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This mixed presentation uses parts of the following base foilsets which can also
be looked at on their own!
GeneralFoils98B General Collection of Foils in Second Half
of 1998
CPS615FrameworkFall98 Master Foilset for CPS615 Introduction --
Material from Culler and Koelbel
CPS615Master96 Master Set of Foils for 1996 Session of
CPS615
CPS615-95B Master Set B of Overview Material on
Parallel Computing for CPS615 Foils
CornellHPCCOverview96MasterMaster Foils for A Short Overview of HPCC
-- From GigaFlops to PetaFlops and From
Tightly Coupled MPP's to the World Wide
Web
Programming Paradigms A Part A:Overview of Programming Paradigms
and Relation to Applications
CPS615-95A Master Set A of Overview Material on
Parallel Computing for CPS615 Foils
DynamicWebPagesgivenbyURL Title and Abstract of FakeFoilset
CPS 615 Lectures 1998 Fall Semester -- Introduction
Start new Section:Overall Structure of Course
- Personnel Grading and Topics
GeneralFoils98B 003 001 Overview of Computational Science
GeneralFoils98B 004 002 Abstract of Computational Science
Presentation
Technology Snapshot
GeneralFoils98B 005 003 Some Notes on Lecture Technology
What is Course
CPS615FrameworkFall98 003 004 What is Computational Science ?
CPS615FrameworkFall98 004 005 Synergy of Parallel Computing and
Web Internetics as Unifying
Principle
CPS615FrameworkFall98 005 006 Basic CPS615 Contact Points
CPS615FrameworkFall98 006 007 Course Organization
CPS615FrameworkFall98 007 008 Material Covered in this Course
CPS615FrameworkFall98 008 009 Structure of CPS615 - II
CPS615Master96 007 010 Basic Structure of Complete CPS615
Base Course on Computational
Science Simulation Track -- III
What is Parallel Computing and Parallel Application
CPS615FrameworkFall98 009 011 What are Parallel and Distributed
Computing?
CPS615FrameworkFall98 010 012 Why Parallel Computing?
CPS615FrameworkFall98 011 013 Parallel Computing Technology
Rationale
CPS615FrameworkFall98 012 014 Motivating Applications
Performance Reality/Dreams
CPS615-95B 074 015 Performance of High End Machines
Years 1940-2000
CPS615-95B 075 016 Performance of High End Machines
Years 1980-2000
CornellHPCCOverview96Master 018 017 Peak Supercomputer Performance
Start new Section: Overview of HPCC Nationally
- National Program and Driving Applications
CPS615FrameworkFall98 013 018 Some Comments on Simulation and
HPCC
Start new Subsection:General Overview of Parallel Computing Technology
CPS615FrameworkFall98 014 019 The Multicomputer: an Idealized
Parallel Computer
CPS615FrameworkFall98 015 020 Multicomputer Architecture
CPS615FrameworkFall98 016 021 Multicomputer Cost Model
CPS615FrameworkFall98 017 022 Sequential Memory Structure
CPS615FrameworkFall98 018 023 Parallel Computer Memory Structure
CPS615FrameworkFall98 019 024 Real Parallel Computers
Architectures
CPS615FrameworkFall98 020 025 Parallel Computers -- Classic
Overview
CPS615FrameworkFall98 021 026 Distributed Memory MIMD
Multiprocessor
CPS615FrameworkFall98 022 027 Distributed Memory Machines
CPS615FrameworkFall98 023 028 Distributed Memory Machines --
Notes
CPS615FrameworkFall98 024 029 Shared Memory MIMD Multiprocessor
CPS615FrameworkFall98 025 030 Shared-Memory Machines
CPS615FrameworkFall98 026 031 Shared-Memory Machines -- Notes
CPS615FrameworkFall98 027 032 Distributed Shared Memory (DSM)
CPS615FrameworkFall98 028 033 Distributed Shared Memory Machines
CPS615FrameworkFall98 029 034 Workstation Clusters
Categories of Algorithms
CPS615FrameworkFall98 030 035 Parallel Algorithms
CPS615FrameworkFall98 031 036 Data Parallelism in Algorithms
Data Parallel application Examples:The Fundamental Reasons Why Parallel Computing is Easy
- In Principle
- Most Problems are naturally parallel and most can be naturally broken up
- Into parts for execution on separate Processors
- This is however fraught with technical difficulties
CPS615FrameworkFall98 032 037 Some Illustrative Examples of
Parallel Applications!
Programming Paradigms A 014 038 Concurrent Computation as a
Mapping Problem -I
Programming Paradigms A 015 039 Concurrent Computation as a
Mapping Problem - II
Programming Paradigms A 016 040 Concurrent Computation as a
Mapping Problem - III
CPS615-95A 023 041 Finite Element Mesh From Nastran
(mesh only shown in upper half)
CPS615-95A 024 042 A Simple Equal Area Decomposition
CPS615-95A 025 043 Decomposition After Annealing
(one particularly good but
nonoptimal decomposition)
Functional and Pleasingly Parallel Parallelism
CPS615FrameworkFall98 033 044 Functional Parallelism in
Algorithms
CPS615FrameworkFall98 034 045 Structure(Architecture) of
Applications - I
CPS615FrameworkFall98 035 046 Structure(Architecture) of
Applications - II
CPS615FrameworkFall98 036 047 Multi Server Model for
metaproblems
CPS615FrameworkFall98 037 048 Multi-Server Gateway Tier
CPS615FrameworkFall98 038 049 Pleasingly Parallel Algorithms
Parallel Computing Software
CPS615FrameworkFall98 039 050 Parallel Languages
CPS615FrameworkFall98 040 051 Data-Parallel Languages
CPS615FrameworkFall98 041 052 Message-Passing Systems
CPS615FrameworkFall98 042 053 A Simple Parallel Programming
Model
CPS615FrameworkFall98 043 054 Properties of Programming Model
CPS615FrameworkFall98 044 055 Some Steps in Parallel Programming
CPS615FrameworkFall98 045 056 Partitioning
CPS615FrameworkFall98 046 057 Communication
CPS615FrameworkFall98 047 058 Agglomeration
CPS615FrameworkFall98 048 059 Mapping
Computer architectures and Technology Trends
CPS615FrameworkFall98 055 060 What is Parallel Architecture?
CPS615FrameworkFall98 056 061 Why Study Parallel Architecture as
a computer scientist?
CPS615FrameworkFall98 057 062 Why Study Architecture Today?
CPS615FrameworkFall98 058 063 Inevitability of Parallel
Computing
CPS615FrameworkFall98 059 064 Application Trends
CPS615FrameworkFall98 060 065 TPC-C (database transaction
processing)
CPS615FrameworkFall98 061 066 Summary of Application Trends
CPS615FrameworkFall98 062 067 Technology Trends -- CPU's
CPS615FrameworkFall98 063 068 General Technology Trends
CPS615FrameworkFall98 064 069 Technology: A Closer Look
CPS615FrameworkFall98 065 070 Clock Frequency Growth Rate
CPS615FrameworkFall98 066 071 Transistor Count Growth Rate
CPS615FrameworkFall98 067 072 Similar Story for Storage
Elementary Discussion of Parallel Computing
- Including Analogies with Society
CPS615-95A 026 073 Parallel Processing and Society
CPS615-95A 027 074 Concurrent Construction of a Wall
Using N = 8 Bricklayers
Decomposition by Vertical Sections
CPS615-95A 028 075 Quantitative Speed-Up Analysis for
Construction of Hadrian's Wall
CPS615-95A 029 076 Amdahl's law for Real World
Parallel Processing
CPS615-95A 030 077 Pipelining --Another Parallel
Processing Strategy for Hadrian's
Wall
CPS615-95A 031 078 Hadrian's Wall Illustrates that
the Topology of Processor Must
Include Topology of Problem
CPS615-95A 032 079 General Speed Up Analysis
CPS615-95A 038 080 Nature's Concurrent Computers
CPS615-95A 039 081 Comparison of Concurrent
Processing in Society and
Computing
More Complex Problem Issues in the Society Analogy
CPS615-95A 033 082 Comparison of The Complete Problem
to the subproblems formed in
domain decomposition
CPS615-95A 034 083 Hadrian's Wall Illustrating an
Irregular but Homogeneous Problem
CPS615-95A 035 084 Some Problems are Inhomogeneous
Illustrated by:
An Inhomogeneous Hadrian Wall with
Decoration
CPS615-95A 036 085 Global and Local Parallelism
Illustrated by Hadrian's Wall
CPS615-95A 037 086 Parallel I/O Illustrated by
Concurrent Brick Delivery for
Hadrian's Wall
Bandwidth of Trucks and Roads
Matches that of Masons
A Real Example
CPS615FrameworkFall98 049 087 Example: Atmosphere Model
CPS615FrameworkFall98 050 088 Atmosphere Model: Numerical
Methods
CPS615FrameworkFall98 051 089 Atmosphere Model: Partition
CPS615FrameworkFall98 052 090 Atmosphere Model: Communication
CPS615FrameworkFall98 053 091 Atmosphere Model: Agglomeration
CPS615FrameworkFall98 054 092 Atmosphere Model: Mapping
Web and Java -- The Future
CPS615FrameworkFall98 068 093 The HPCC Dilemma and its Solution
CPS615FrameworkFall98 069 094 What is Commodity Software
CPS615FrameworkFall98 070 095 The Computing Pyramid
CPS615FrameworkFall98 071 096 Implications of the Computing
Pyramid
CPS615FrameworkFall98 072 097 The 3 Roles of Java
CPS615FrameworkFall98 073 098 Why is Java Worth Looking at?
CPS615FrameworkFall98 074 099 What is Java Grande?
CPS615FrameworkFall98 075 100 Java and Parallelism?
CPS615FrameworkFall98 076 101 "Pure" Java Model For Parallelism
See Java in HPCC resource
DynamicWebPagesgivenbyURL 003 102 Java for Scientific Computing
Resource
Pragmaticism
CPS615FrameworkFall98 077 103 Pragmatic Computational Science
August 1998
List of Foils Used as they occur
GeneralFoils98B General Collection of Foils in Second Half
of 1998
3 4 5
CPS615FrameworkFall98 Master Foilset for CPS615 Introduction --
Material from Culler and Koelbel
3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 55 56 57 58 59 60 61 62 63 64 65 66 67 49 50 51 52 53 54 68 69 70 71 72 73 74 75 76 77
CPS615Master96 Master Set of Foils for 1996 Session of
CPS615
7
CPS615-95B Master Set B of Overview Material on
Parallel Computing for CPS615 Foils
74 75
CornellHPCCOverview96MasterMaster Foils for A Short Overview of HPCC
-- From GigaFlops to PetaFlops and From
Tightly Coupled MPP's to the World Wide
Web
18
Programming Paradigms A Part A:Overview of Programming Paradigms
and Relation to Applications
14 15 16
CPS615-95A Master Set A of Overview Material on
Parallel Computing for CPS615 Foils
23 24 25 26 27 28 29 30 31 32 38 39 33 34 35 36 37
DynamicWebPagesgivenbyURL Title and Abstract of FakeFoilset
3
Sorted List of Foils Used
GeneralFoils98B General Collection of Foils in Second Half
of 1998
3 4 5
CPS615FrameworkFall98 Master Foilset for CPS615 Introduction --
Material from Culler and Koelbel
3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77
CPS615Master96 Master Set of Foils for 1996 Session of
CPS615
7
CPS615-95B Master Set B of Overview Material on
Parallel Computing for CPS615 Foils
74 75
CornellHPCCOverview96MasterMaster Foils for A Short Overview of HPCC
-- From GigaFlops to PetaFlops and From
Tightly Coupled MPP's to the World Wide
Web
18
Programming Paradigms A Part A:Overview of Programming Paradigms
and Relation to Applications
14 15 16
CPS615-95A Master Set A of Overview Material on
Parallel Computing for CPS615 Foils
23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39
DynamicWebPagesgivenbyURL Title and Abstract of FakeFoilset
3
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