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Complex Systems and Parallel Computing -- CPS713 update from Decemember 1992 Talk at ANU Conference on Complex Systems

Given by Geoffrey C. Fox at CPSP713 Case studies in Computational Science on Spring Semester 1996. Foils prepared 15 March 1996

Parallel Computers for the Simulation of Complex Systems
  • Teraflop Performance
  • Virtual Reality
  • Software Standards
  • "Global metacomputer"
Complex Systems for the theory of Computer and Network Architecture
  • Physical Analogies Space, Time, Temperature, Phase Transitions
  • Problem Architecture
  • A Theory of Parallel Computing?
Complex Systems for new Computational Methodologies
  • Physical Computation
  • Neural Networks..........
  • Simulated Annealing and Tempering


Table of Contents for Complex Systems and Parallel Computing -- CPS713 update from Decemember 1992 Talk at ANU Conference on Complex Systems

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1 Complex Systems and Parallel Computing
Australian International Conference on Complex Systems
Australian National University
Canberra, Australia
December 14-16, 1992
Geoffrey C. Fox
2 The Three Themes of Lecture: Parallel Computers and Complex Systems
3 Issues in Parallel Computers for the Simulation of Complex Systems
4 Standard Performance Graph Heading to 1 to 10 Teraflops by year 2000
5 When will parallel computing take over?
6 The President's High Performance Computing and Communication Initiative (HPCCI)
7 Challenges and Status of Parallel Computing
8 High Performance Fortran Overview
9 HPF computational model
10 Example of Fortran-90D source code: Gaussian Elimination
11 HPF directives
12 Data Alignment and Distribution Directives
13 Examples of Alignments (1)
14 Examples of Distributions (1)
15 For More Information on HPF
16 FORTRAN-90D
The First Implementation of HPF
(NPAC, Syracuse University)
Current Status
17 Common Software needed for Heterogeneous Local Area Network
(Ethernet - FIDDI - HIPPI - FCS ......)
18 Importance of MetaProblems
19 Hybrid Problem Structure for Command and Control
20 The Mapping of Heterogeneous Problems onto Heterogeneous Computer Systems
21 SIMCITY is an interesting PC based complex system simulation.
22 Implementation of Complex System Simulation
23 AVS as System Integration Tool
24 Parallel AVS - Planned Project at NPAC
25 Architecture of Parallel AVS System
26 VR Operating Shells
27 Components of Proposed Televirtuality Server at NPAC
28 A Theory of Parallel Computing based on Complex Systems
29 Computing as a set of Mapping Problems
30 Complex Systems to give a theory of computing
31 Parallel Computing is "just" an optimization problem, even if we can't agree on what to optimize
32 Concurrent Computation as a Mapping Problem -I
33 Concurrent Computation as a Mapping Problem - II
34 Computation as a map of a set of Complex Systems
35 Domain Decomposition and Complex Systems ?
36 Physical Analogy for Complex Computer
37 The Physical Space/TimeAnalogy for a General Problem
38 Some Temporal Properties of Computation
39 General Space Time Complex System Picture for Problem to Computer Mapping
40 Computer Languages and Space - Time Properties
41 Information Dimension of a General Complex System
42 Performance of a Parallel Computer
43 Hierarchical Multicomputer
Spatial and Temporal Decomposition
44 Shared or Hierarchical Memory Computer
45 Comparison of Cache and Distributed Memory Communication Overhead
46 Extension of Space-Time Picture to treat Hierarchial memory and caches etc.
47 Space-Time Decompositions for the concurrent one dimensional wave equation
48 Typical Example of Mapping an Irregular Bunch of Grid Points
49 Use of Physical Optimization in High Performance Fortran
50 Physics Analogy for Load Balancing
51 Complex System SHLSoft governed by Hamiltonian = Execution Time
52 Decomposition of an Arch onto 16 Processors in a Hypercube
53 PHYSICS ANALOGY FOR STATIC AND DYNAMIC LOAD BALANCING
54 General definition of temperature TS of a complex system
55 Particle dynamics problem on a four node system
56 Instantaneous Energy Distribution for Time Dependent Domain Decomposition and Block Scattered Distributions
57 Time Averaged Energy for Adaptive Particle Dynamics Problem
58 A general theory of computation
59 HISTORICALLY ONE OF THE MOTIVATIONS FOR THE RESEARCH WAS TO
" AUTOMATE" THE KNOWN FOLD ALGORITHM
60 The String Formalism for Dynamic Computations
61 Loosely Synchronous Static and Adaptive Problems in the String Picture
62 An initial approach to computational string dynamics or equivalently the
Construction of the Energy Function
63 Full String Dynamics as an Interacting Field Theory
64 Complex systems suggest new computational methodologies
65 Physical Optimization and Computation Approaches and their Field of Origin
66 Genetic Algorithms for Data Decomposition
67 Three Major Genetic Operators
68 MultiScale Methods in Parallel Data Decomposition
69 Results of Various Physical Optimization Methods for Data Decomposition
70 A similar but Larger Problem
71 Some Overall Questions Relevant In Classisfying Optimization Problems and Methods
72 Two Types of Global Mininum and their relation to Local Minima
73 Typical Formalism for Physical Optimization
74 Global and Local Minima in Temperature Dependent Free Energy
75 Comparison of Physical Optimization Methods
76 Some Applications of Deterministic Annealing
77 Simulated Tempering -- a New Approach to Monte Carlo Optimization/Simulated Annealing
78 The Conventional Simulated Annealing and its Problems for Random Field Ising Models
79 Key Idea in The Tempering Approach
80 Goodbye! Many Choices - Which is best When?

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