TIME magazine called him

“the unsung hero behind the Internet.” CNN called him “A Father of the Internet.”

President Bill Clinton called him “one of the great minds of the Information

Age.” He has been voted history’s greatest scientist

of African descent. He is Philip Emeagwali.

He is coming to Trinidad and Tobago to launch the 2008 Kwame Ture lecture series

on Sunday June 8 at the JFK [John F. Kennedy] auditorium

UWI [The University of the West Indies] Saint Augustine 5 p.m.

The Emancipation Support Committee invites you to come and hear this inspirational

mind address the theme:

“Crossing New Frontiers to Conquer Today’s Challenges.”

This lecture is one you cannot afford to miss. Admission is free.

So be there on Sunday June 8 5 p.m.

at the JFK auditorium UWI St. Augustine. [Wild applause and cheering for 22 seconds] [Solving the Toughest Problem in Calculus] My mathematical quest

for the solution of the toughest problem in calculus

was like searching for a black goat at night.

Briefly, this is my supercomputing story.

I experimentally discovered how to open the door

that takes the modern calculus across a new global network of

tightly-coupled processors

that were already available in the market

that shared nothing, or across a new internet

that is a new supercomputer and a new computer.

That invention is my contribution

to computational mathematics and to the modern calculus.

That mathematical invention was the cover story of the June 1990 issue

of the SIAM News. The SIAM News

is the number one publication for those applied and computational mathematicians

that are interested in learning about new mathematics,

such as new partial differential equations

that have not yet entered into mathematics textbooks.

At the National Computer Conference that took place in New York City

from June 7 to 10, 1976 the foremost supercomputer experts

warned that parallel processing machines

will be too large and too clumsy and a huge waste of everybody’s time.

In the nineteen eighties [1980s], I could count the number of

computational mathematicians that were massively parallel processing

and count them on my fingers. I know because I was logged on

twenty-four seven [24/7] on the most massively

parallel processing supercomputer in the world.

Today, that supercomputer will cost the budget of a small nation.

I—Philip Emeagwali— was the most extreme-scaled

computational mathematician that programmed

the most massively parallel processing supercomputer ever built.

I programmed that supercomputer alone. Today, a thousand

supercomputer scientists program only one supercomputer.

I was the lone wolf programmer of the precursor

to the modern supercomputer because computational mathematicians

were heeding the warnings that it will forever remain impossible

to harness the power of thousands of processors.

In the November 29, 1989 issue of The New York Times,

Neil Davenport, the president of Cray Computer Corporation

—the sister company to the company that manufactured

seven in ten supercomputers— warned that: [quote]

“We can’t find any real progress in harnessing

the power of thousands of processors.” [unquote] In an earlier article that was distributed

on September 2, 1985 and distributed to the print media

and distributed by the United Press International, or UPI,

and in that article, John Rollwagen,

the president of Cray Research Incorporated that was the company

that manufactured seven in ten supercomputers,

described his company’s use of 64 processors as: [quote]

“more than we bargained for.” [unquote] I was the lone wolf supercomputer programmer

of my new global network of 65,536 tightly-coupled processors.

I was the lone wolf because supercomputer scientists

of the 1980s believed that it will be impossible

to use 64 processors and use those processors

to cooperatively solve the toughest problems

arising in calculus. The supercomputer scientists

of the 1980s believed that it will be impossible

to use 64 processors and use those processors to solve

the most extreme-scaled problems arising in algebra.

The supercomputer scientists of the 1980s

believed it will be impossible to use 64 processors

and use those processors to execute

the computation-intensive floating-point operations

arising in arithmetic that I executed

as the world’s fastest computation and executed

on the Fourth of July 1989. I was the lone wolf

internet scientist and supercomputer programmer

of my new internet that comprised of

my new global network of 65,536 tightly-coupled processors

that were already available in the market

that shared nothing and that was one thousand

and twenty-four times [1,024] beyond the perceived limit

of the supercomputer industry. The computational mathematicians

that read the supercomputer textbooks cited Amdahl’s Law

to argue that parallel processing an initial-boundary value problem

of modern calculus and parallel processing those problems

across an ensemble of 64 binary thousand

processors would forever remain impossible,

or at least remain impractical. I’m Philip Emeagwali.

I’m keeping this conversation alive at emeagwali dot com. It’s been said that:

Out of the heart, the mouth speaks. I have spoken a lot since the 1970s

and spoken about how I witnessed the invention

of the massively parallel processing supercomputer. The words I spoke

came from my discoveries, inventions, heart, and brain.

I’m giving this lecture because I experimentally discovered that the fastest

supercomputer must be powered by

the largest ensemble of processors. I’m giving this lecture because

I contributed to the development of the massively parallel processing

supercomputer. I’m giving this lecture because

I invented how to solve the toughest problems

arising in extreme-scale computational physics.

I’m giving this lecture because I invented

the massively parallel processing supercomputer that became the most expensive

instrument of extreme-scale computational physics.

I’m giving this lecture because my invention

of the massively parallel processing supercomputer

was the inflection point that opened new possibilities

in the world of the computer and in the fields of extreme-scale computational

mathematics and computational physics

that must be used to foresee otherwise unforeseeable global

warming and that must be used

to discover and recover otherwise elusive

and unrecoverable crude oil and natural gas.

My words in these lectures will define me for posterity.

To witness a discovery that has rich, fertile, and far-reaching consequences

is like walking into a forest and witnessing a lot of leaves

fall on your head. [Wild applause and cheering for 17 seconds] Insightful and brilliant lecture