Full Index for Scripted foilset 
| Overview of National Program -- The Grand Challenges |
| Overview of Technology Trends leading to petaflop performance in year 2015 |
| Overview of Syracuse and National programs in computational science |
| Parallel Computing in Society |
| Parallel and Sequential Computer Architectures |
| Why Parallel Computing works |
| Message Passing and Data Parallel Programming Paradigms |
| Laplace Equation with Iterative solver in detail |
| Set (approximately 6) of application/algorithm snippets illustrating software, hardware and algorithm issues |
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1
CPS615 -- Base Course for the Simulation Track of Computational Science
2
Abstract of CPS615 Base Course of Computational Science Simulation Track
3
Basic Course CPS615 Contact Points
4
Course Structure
5
Basic Structure of Course -- I
6
Basic Structure of the Course - II 
7
The Technology
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Effect of Feature Size on Performance
9
Growing Logic Chip Density
10
Trends in Feature and Die Size as a Function of Time
11
Supercomputer Memory Sizes and trends in RAM Density
12
Comparison of Trends in RAM Density and CPU Performance Increases
13
National Roadmap for Semiconductor Technology --1992
14
CMOS Technology and Parallel Processor Chip Projections
15
What and Why is Computational Science ?
16
Parallelism Implies Major Changes which have significant educational Implications
17
What is Computational Science?
18
What do we have at Syracuse University?
19
Program in Computational Science
20
Methodology for Computation
21
Usefulness of Computational Science Degrees:
22
Syracuse Computational Science Academic Programs -- Masters Degree
23
Syracuse Graduate Computational Science Academic Programs
24
Computational Science Courses -- Typical CPS615 Module
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Computational Science Courses -- CPS713
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Some Academic Areas and their Relation to Computational Science
27
Program in Information Age Computational Science Implemented Within Current Academic Program
28
Federal 1994 Blue Book Comparison of National and Grand Challenges
29
Overview of Draft Curriculum for CPS616
30
What we taught this Spring CPS600 --
31
Master's Degree in Multimedia Studies
32
Status of Parallel Computing and High Speed Networks --
33
Superficial Observations on High Performance Computing-I
34
We have learnt that Parallel Computing Works !
35
Advances in Parallel Computer and High Speed Network (HPCC) Technology
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Performance of High End Machines Years 1940-2000
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Performance of High End Machines Years 1980-2000
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Current Important Parallel Computers --1995
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Superficial Observations on High Performance Computing-II
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When will Parallel Computing Take Over ?
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Some Hardware/Software Trends over next 5 years
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Who Uses High Performance Computers?
43
Historical Whimsy --
44
Some History
45
The Caltech/JPL Hypercube
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The Ten Pioneer Hypercube Applications Within C3P
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Some More History
48
What is NPAC ?
49
NPAC Staff and Associated Academic Units
50
NPAC Parallel Computing Facility (as of 1/3/95)
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NPAC Networking Infrastructure (as of 1/3/95)
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Wide Area ATM Infrastructure
53
NPAC Programs
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NPAC's HPCC Programs
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The Federal High Performance Computing and Communication Initiative 1992--1996
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The Federal High Performance Computing and Communication Initiative (HPCCI)
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The High Performance Computing and Communications Initiative
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HPCCI Goals
59
Note the Trend from Large Scale Numerical Computing to the Integration of Computing and Communication in the NII
60
The Blue Books
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http://www.hpcc.gov/
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The Blue Book Covers
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Superficial Observations on High Performance Communication
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Some Implications of HPCC Observations
65
The Federal Program Focusing on 1996 Highlights with many exciting Applications
66
1996 Blue Book
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1996 Blue Book (1 of 3)
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1996 Blue Book (2 of 3)
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1996 Blue Book (3 of 3)
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The Application Motivation for HPCC
71
Grand Challenge Applications
72
Applied Fluid Dynamics
73
Computational Aeroscience
74
Coupled Field Problems and GAFD Turbulence
75
Combustion Modeling: Adaptive Grid Methods
76
Numerical Tokamak Project
77
Meso- to Macro-Scale Environmental Modeling
78
Mathematical Modeling of Air Pollution Dynamics
79
Distributed Computational System for Large Scale
80
Cross-Media (Air and Water) Linkage
81
Global Climate Modeling
82
4-D Data Assimilation
83
Eco Simulations
84
Environmental Chemistry
85
The Quake Project
86
Land Cover Dynamics
87
The Underlying Bathymetry of San Diego Bay
88
Biomedical Imaging and Biomechanics
89
Cryosectional image from the Visible Human Male
90
Image Processing of Electron Micrograph
91
Molecular Biology
92
Molecular Design
93
Biomolecular Design
94
Biomolecular Modeling and Structure Determination
95
Computational Structural Biology
96
Computational Methods for Enzyme Catlysis
97
Cognition
98
HPC For Learning
99
Fundamental Computational Sciences
100
First Principal Simulation of Materials Properties
101
Galaxy Formation Models
102
Large Scale Structure and Galaxy Formation
103
Grand-Challenge-Scale Applications
104
Simulation of Chorismate Mutase Showing Lines of
105
Simulation of Antibody-Antigen Association
106
A Realistic Ocean Model
107
Drag Control
108
Impact of Turbulence on Weather/Climate Prediction
109
Shoemaker-Levy 9 Collision with Jupiter
110
Vortex Structure and Dynamics in Superconductors
111
Molecular Dynamics Modeling
112
Advanced Simulation of Crash Simulation
113
Advanced Simulation of Chemically Reacting Flows
114
Convective Turbulence and Mixing in Astrophysics
115
National Challenge Applications
116
Digital Libraries
117
Public Access to Government Data
118
Electronic Commerce
119
Health Care
120
Computer-Based Medical Records -1
121
Computer-based Medical Records-2
122
Radiation Treatment Planning
123
Functional Neurological Image Analysis
124
Collaboratory for Microscopic Digital Anatomy (CMDA)
125
Manufacturing Processes and Products
126
HPCC: The Business Outlook
127
Overview of Talk: Technical Topics
128
Come to CPS616 for a detailed discussion of the National Challenges and the National Information Infrastructure
129
Data Parallelism is a Universal Source of Scaling Parallelism
130
We have learnt that Parallel Computing Works !
131
Methodology of Parallel Computing
132
Concurrent Computation as a Mapping Problem -I
133
Concurrent Computation as a Mapping Problem - II
134
Concurrent Computation as a Mapping Problem - III
135
Structure of Problems and Parallel Software Approaches Full WebWisdom URL and this Foilset Search
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