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GLOBAL foilset HPCC Status -- TeraFlop to Web and Petaflops -- Success and Failure

Given by Geoffrey Fox at Trip to China on July 12-28,96. Foils prepared July 6 1996
More Detail! * Foil Index from this file * See also color IMAGE

We describe the structure of seven talks making up this review of HPCC from today to the Web and Petaflop performance in future
Here we describe current status with HPCC in some sense both a failure and a great success
This requires looking at hardware, software and the critical lack of commercial adoption of this technology
We discuss COTS and trickle up and down technology strategies
We describe education and interdisciplinary computational science in both simulation and information arenas


This mixed presentation uses parts of the following base foilsets which can also be looked at on their own!
General Collection of Research Foils -- July--December 1996
Kim Mills Collection of GIF Images for NPAC Projects 96-
Master Foilset for HPCS95 Keynote Presentation
Overview of InfoMall -- A Virtual Corporation for HPCC Systems and Software
Overview Foils for Parallel Applications and software Talk
Master Set B of Overview Material on Parallel Computing for CPS615 Foils
Master Foils for A Short Overview of HPCC -- From GigaFlops to PetaFlops and From Tightly Coupled MPP's to the World Wide Web
Processing-In-Memory (PIM) Architectures for Very High Performance MPP Computing
InfoVISION: Information Video Simulation Imagery ON demand
Overview foils for Computational Science Overview at Illinois -- May 1995
Master Set A of Overview Material on Parallel Computing for CPS615 Foils
Part A:Overview of Programming Paradigms and Relation to Applications

Table of Contents for HPCC Status -- TeraFlop to Web and Petaflops -- Success and Failure


1 Separate IMAGE * Separate HTML Status of "Classic" HPCC -- June1996
Overall Status: Success or Failure?
2 Separate IMAGE * Separate HTML Abstract of HPCC Current Status 1996

NPAC!

3 Separate IMAGE * Separate HTML NPAC Home Page

The seven Talks on HPCC!

4 Separate IMAGE * Separate HTML Components of This HPCC Presentation

Overall Scenario

5 Separate IMAGE * Separate HTML Superficial Observations on High Performance Computing-I
6 Separate IMAGE * Separate HTML Superficial Observations on High Performance Computing-II
7 Separate IMAGE * Separate HTML Superficial Observations on High Performance Communication
8 Separate IMAGE * Separate HTML Some Implications of HPCC Observations
9 Separate IMAGE * Separate HTML Advances in Parallel Computer and High Speed Network (HPCC) Technology
10 Separate IMAGE * Separate HTML Some Hardware/Software Trends over next 5 years
11 Separate IMAGE * Separate HTML What is Status of HPCC Applications?
12 Separate IMAGE * Separate HTML Two Major Parallel Programming Paradigms
13 Separate IMAGE * Separate HTML When will Parallel Computing Take Over ?

Teraflops -- Grand Challenges -- Federal HPCC Initiative

14 Separate IMAGE * Separate HTML The Federal High Performance Computing and Communication Initiative (HPCCI)
15 Separate IMAGE * Separate HTML Performance of High End Machines Years 1940-2000
16 Separate IMAGE * Separate HTML Performance of High End Machines Years 1980-2000
17 Separate IMAGE * Separate HTML Peak Supercomputer Performance
18 Separate IMAGE * Separate HTML What Happens now that HPCC Initiative is no longer in place?

COTS Top Down Versus Bottom Up

19 Separate IMAGE * Separate HTML Some Important Trends -- COTS is King!
20 Separate IMAGE * Separate HTML Comments on COTS for Hardware
21 Separate IMAGE * Separate HTML Performance Per Transistor
22 Separate IMAGE * Separate HTML However we need more than fast enough machines
We also need a large enough market to sustain technology (systems and software)
23 Separate IMAGE * Separate HTML NII Compute & Communications Capability in Year 2000 --> 2005

Where are we today with MPP Hardware and Software in a nutshell

24 Separate IMAGE * Separate HTML Returning to Today - I
25 Separate IMAGE * Separate HTML Returning to Today - II
26 Separate IMAGE * Separate HTML Software Issues/Choices - I
27 Separate IMAGE * Separate HTML The Sad Story of HPF and Some Applications
28 Separate IMAGE * Separate HTML Software Issues/Choices - II
29 Separate IMAGE * Separate HTML Software Issues/Choices - III

We must Educate People!

30 Separate IMAGE * Separate HTML Need to Educate People to take advantage of HPCC technologies
31 Separate IMAGE * Separate HTML Educational and (Re)training Challenges
32 Separate IMAGE * Separate HTML What is Computational Science?
33 Separate IMAGE * Separate HTML Program in Computational Science
Implemented within current academic framework
34 Separate IMAGE * Separate HTML Program in Information Age Computational Science Implemented Within Current Academic Program

Elementary Discussion of Parallel Computing
35 Separate IMAGE * Separate HTML Parallel Processing and Society
36 Separate IMAGE * Separate HTML Concurrent Construction of a Wall
Using N = 8 Bricklayers
Decomposition by Vertical Sections
37 Separate IMAGE * Separate HTML Quantitative Speed-Up Analysis for Construction of Hadrian's Wall
38 Separate IMAGE * Separate HTML Amdahl's law for Real World Parallel Processing
39 Separate IMAGE * Separate HTML Pipelining --Another Parallel Processing Strategy for Hadrian's Wall
40 Separate IMAGE * Separate HTML Hadrian's Wall Illustrates that the Topology of Processor Must Include Topology of Problem
41 Separate IMAGE * Separate HTML General Speed Up Analysis
42 Separate IMAGE * Separate HTML Nature's Concurrent Computers
43 Separate IMAGE * Separate HTML Comparison of Concurrent Processing in Society and Computing

The Fundamental Reasons Why Parallel Computing is Easy In Principle
44 Separate IMAGE * Separate HTML Data Parallelism is a Universal Source of Scaling Parallelism
45 Separate IMAGE * Separate HTML We have learnt that Parallel Computing Works !
46 Separate IMAGE * Separate HTML Methodology of Parallel Computing
47 Separate IMAGE * Separate HTML Concurrent Computation as a Mapping Problem -I
48 Separate IMAGE * Separate HTML Concurrent Computation as a Mapping Problem - II
49 Separate IMAGE * Separate HTML Concurrent Computation as a Mapping Problem - III

Full WebWisdom URL and this Foilset Search
Alias List This contains all WebWisdom links preceded by those referenced in this foilset

List of WebWisdom URL's Used in this Foilset


key hpfa URL http://www.npac.syr.edu/hpfa/index.html * High Performance Fortran Application Resource by gcf on April 1,1995
Times 1 Foils referenced Foil 12
key pcw URL http://www.npac.syr.edu/copywrite/pcw/ * Parallel Computing Works Overview by gcf on April 1,1995
Times 2 Foils referenced Foil 11 Foil 12
Northeast Parallel Architectures Center, Syracuse University, npac@npac.syr.edu

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