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Special mention (credit): Bence Gerber (CRI), Simon Fok (TDC/O-1),

Ken Stevens and Cathy Schulbach, Cindy Weeks, Diane Smith, Ron Levine.

And probably many others who deserve mention.

IEEE: Institute of Electrical and Electronic Engineers

The hardball boys

SIAM: Society of Industrial and Applied Mathematics

AMS: American Mathematical Society (largely theory)

AAAI

Do we have "thinking" machines yet?

This is where large portions of the LISP community reside.

comp.ai.*.

AIAA: American Institute of Aeronautics and Astronautics

Many meetings don't produce proceedings. You buy the papers

as you see fit.

What's nice is that test pilots don't like to write extensive reports

(hating bureaucracy), so a minimum concession/incentive is the optional paper.

It has been said that "Only Pulliam could get away with giving a talk

without a suit and tie."

AIP/APS, etc.: American Institute of Physics, American Physical Society

Characterized by E. Feigenbaum as:

"The polo players of science....."

Shiny new building.

Big money folk.

ACS: American Chemical Society

Chemists are frequently regarded as second-class physicists in many

circles. At least, they "rate."

AGU: American Geophysical Union

Originally throught to have lots of power due to the Arab Oil crisis.

Industries struggling to stay alive.

Accused of using benchmark time to accomplish real runs without paying.

You don't have to wear ties at their meetings (unless maybe you

are the paper presenter).

Very down to earth people.

God, help the biologists. 8^)

Genomes

To quote a friend: Two major major communities exist:

the Molecular people and everyone else

(systematic, ecosystem, physio, etc.)

Of the molecular crowd:

It appears that the pharmaceutical drug companies are into supercomputing,

but the genetic crowd isn't.

Envision a spherical cow

------------------------

First we start with over simple assumptions.

Then we throw even numbers out.

Then we start scaling: 1-dimension, 2-dimension, 3-dimension, 4....

It grows fast.

Then we throw symmetry out the window (asymmetric). See irregular grids.

Then we vary time. See time-varying problems.

Beware of keywords like sparse or dense.

AAAS: American Association for the Advancement of Science

The American Association for the Advancement of Science (AAAS) is relatively

weak when it comes to computing in general. Every so often Science

(which has a Web page) has a special issue on computing.

Did you hear the one about the engineer during the French Revolution?

Suggested readings

------------------

This is a tricky issue. I personally recommend searching the parallelism

biblio, but I'm working on this FAQ.

Much of the above is covered more tacitfully if less completely in

Computing the future: a broader agenda for computer science and engineering /

Juris Hartmanis and Herbert Lin, editors ;

Committee to Assess the Scope and Direction of Computer Science

and Technology, Computer Science and Telecommunications Board,

Commission on Physical Sciences, Mathematics, and Applications,

National Research Council. Washington, D.C. : National Academy Press, 1992

I recommend an obscure, but interesting technical report published

in a CERN conference cited in the above authored report by Rob Pike of AT&T

Bell Labs entitled:

Computer Science versus Physics.

I hope to republish this article shortly.

The typical comment is that many of the textbooks gloss over some topics

so quickly that they offer little practical information.

%A Kevin Dowd

%T High Performance Computing:

RISC Architectures, Optimization, & Benchmarks

%S Nutshell Books

%I O'Reilly & Associates, Inc.

%C Sebastopol, CA

%D June 1993

%K book, text,

%X I. Modern Computer Architectures

Ch. 1 What is High Performance COmputing?

Ch. 2 RISC Computers

Ch. 3 Memory

II. Porting and Tuning Software

Ch. 4 What an Optimizing Compiler Does

Ch. 5 Clarity

Ch. 6 Finding Porting Problems

Ch. 7 Timing and Profiling

Ch. 8 Understanding Parallelism

Ch. 9 Eliminating Clutter

Ch. 10 Loop Optimizations

Ch. 11 Memory Reference Optimizations

Ch. 12 Language Support for Performance

III. Evaluating Performance

Ch. 13 Industry Benchmarks

Ch. 14 Running your own benchmarks

IV. Parallel Computing

Ch. 15 Large Scale Parallel Computing

Ch. 16 Shared Memory Multiprocessors

%X What?! Nothing about "massive parallelism?"

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