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] Thank you.

Thank you. Thank you very much. I’m Philip Emeagwali. The modern supercomputer

is a tool that enables the mind

to go where the eyes cannot see. To invent

is to turn fiction into fact. In 1989,

it made the news headlines that an African supercomputer genius

in the United States has experimentally discovered

how and why parallel processing makes modern computers faster

and makes the new supercomputer the fastest,

namely, the Philip Emeagwali formula that then United States President

Bill Clinton described in his White House speech of

August 26, 2000. I am that African high-performance supercomputer

scientist that was in the news in 1989.

Since my 1989 invention of the massively parallel processing supercomputer,

I felt like the ancient mariner who travelled around the world

to tell his story to different people.

Trying to understand the modern high-performance supercomputer

that is a new internet that I invented

and trying to understand that new supercomputer

as the global network of 65,536

equidistant processors that I programmed back in 1989

and trying to understand that massively parallel processing supercomputer

as a small copy of the planetary-sized internet

and trying to understand that fastest supercomputer

without the life story of its inventor is like looking at an embroidery

from the wrong side of the cloth. I am well known

but I am not known well. Eleven out of ten people

did not understand how I experimentally discovered

how and why parallel processing makes modern computers faster

and makes the new supercomputer the fastest,

namely, the Philip Emeagwali formula that then United States President

Bill Clinton described in his White House speech of

August 26, 2000. My experimental discovery

that the massively parallel processing supercomputer

is 65,536 times faster than the computer occurred

on the Fourth of July 1989 in Los Alamos, New Mexico,

United States. That experimental discovery

was first reported by The Computer Society

of The Institute of Electrical and Electronics Engineers,

called the IEEE. My experimental discovery

was first reported in 1989 as a press release

from the IEEE office in San Francisco, California.

The IEEE followed up its 1989 press release

with a detailed report that explained to the supercomputer community

my experimental discovery of how I made

the impossible-to-compute possible-to-compute.

The IEEE is the acronym for the Institute

of Electrical and Electronics Engineers. The IEEE

is the world’s largest technical society. My mathematical inventions

of nine partial differential equations of modern calculus

were first reported by the SIAM

and first reported to the research mathematics community.

The SIAM is the acronym for the Society

for Industrial and Applied Mathematics. The SIAM is the world’s largest

society of mathematicians. My contributions to human knowledge

that both the IEEE and the SIAM described in their flagship publications

was how they understood my supercomputer inventions

and my mathematical discoveries. The IEEE and the SIAM

did not describe how I understood the massively parallel processing supercomputer

that I invented and how I understood

the partial differential equations that I invented.

A discovery or an invention is like the moon.

It has two parts: the visible part and the hidden part.

Back in 1989, the news media were reporting

the concrete and the visible parts of my technological inventions

and were ignoring the abstract and the invisible parts

of my mathematical discoveries. For that reason, I said that:

I am well known but I am not known well.

I am well known as the high-performance

supercomputer scientist that experimentally discovered

the massively parallel processing supercomputer. I am well known

as the internet scientist that invented a new internet

that is a new global network of 65,536 tightly-coupled processors

with each processor operating its own operating system

and with each processor having its own dedicated memory

that shared nothing with each other that were already available

in the market anyway. But I am not known well

as the extreme-scale computational physicist

that discovered that the most important law in physics

is violated during its most important application

—namely, recovering otherwise unrecoverable crude oil and natural

gas and recovering them

from abandoned oil fields, such as the Oloibiri oil field

of Bayelsa State, Nigeria that was discovered

in 1958 and discovered

as the first oil discovery in West Africa but abandoned twenty years later

in 1978. But I am not known well

as the mathematical physicist that invented

how to solve the toughest problems arising in extreme-scale

computational physics. But I am not known well

as the extreme-scale computational mathematician

that discovered critical, century-old errors

in the most important equations in the history of mathematics.

But I am not known well for correcting that mathematical error

and doing so by inventing a system of coupled, non-linear, time-dependent,

and state-of-the-art partial differential equations

of modern calculus. For me—Philip Emeagwali—

inventing the modern parallel processing supercomputer

that can parallel process or solve a million problems (or processes)

at once and that can solve them

at the fastest speeds recorded in computational mathematics

and inventing the massively parallel processing supercomputer

that can solve the toughest mathematical problems

in computational physics was like a songwriter

using his guitar to accompany his song and dance.

The high-performance supercomputer of yesterday

was the instrument for the extreme-scale

computational physicist that became your instrument

and your computer of today. In high-performance supercomputing,

wizardry is making the impossible-to-compute

possible-to-compute. The ensemble of 65,536

processors that were already available

in the market that I experimentally discovered

to be a new supercomputer and to be a new internet

and that I figured out how their processors could be programmed

and harnessed as one seamless, cohesive whole supercomputer

were exclusively available to me alone. In the 1980s, that ensemble of 65,536

commodity processors was available to me alone because

the ensemble was abandoned by the community of 25,000

vector processing supercomputer scientists that were led by Seymour Cray.

That ensemble of processors was abandoned

because it was then considered impossible to harness the potential

supercomputer power of the slowest 65,536

processors in the world that merely performed

47,303 calculations per second per processor.

In the 1980s, it was impossible to harness the supercomputer potential

of the slowest processors and to use the speed of that new

massively parallel processing supercomputer to solve otherwise unsolvable

problems arising in mathematical physics. On the Fourth of July 1989,

I mathematically and experimentally invented how to solve 65,536

initial-boundary value problems of modern calculus

and of the most extreme-scale computational physics.

It made the news headlines that I invented

how to solve the toughest problems arising in mathematical physics

and how to solve them at once, or in parallel,

and how to solve those tough problems together and how to solve them

at the then unheard of speed of 3.1 billion calculations per second.

That speed was the world’s fastest supercomputer speed

of the 1980s. Before my discovery

that occurred on the Fourth of July 1989,

it was indeed impossible to experimentally discover

the potential power of the massively parallel processing

supercomputer. It was then impossible

to experimentally discover the aggregate power

of 64 binary thousand processors. It was then impossible

to invent how to harness

those plentiful, powerful, and inexpensive processors

that were already available in the market

and how to use them to solve the toughest problems

arising in extreme-scale computational physics and mathematics.

The June 14, 1976 issue of the Computer World magazine

interviewed the supercomputer experts that were attending

the 1976 National Computer Conference in New York City.

The Computer World magazine asked those supercomputer experts

if it will ever be possible to invent

how to harness the potential of the parallel processing supercomputer

and if it will ever be possible to harness that supercomputer-hopeful

and harness the technology to experimentally discover

the fastest computations that could be executed across

an ensemble of processors. The unanimous opinion

of those supercomputer experts was summed up in an article

that was published in the June 14, 1976 issue

of the Computer World. That Computer World article

was written by E. Drake Lundell Jr, who was the computer industry editor

of Computer World. That Computer World article

was titled: [quote]

“Research in Parallel Processing Questioned as ‘Waste of Time’.”

[unquote] The reason I was not discouraged

by that Computer World article was that I was only twenty-one [21] years

old when it was published. Being young and foolish,

I had the time to waste in the impossible pursuit

of the massively parallel processing supercomputer. I spent the fourteen years,

onward of 1976, conducting my research

on how to parallel program a massively parallel processing supercomputer

and on how to parallel program that high-performance supercomputer

to compress 180 computing-years to just one supercomputing-day. To discover or invent

is to make the impossible possible. At age 19

and as a mathematician-in-training, I solved my equation

to get it right. At age 35

I grew to become a polymath that was trained for sixteen years

and I solved my equation to not get it wrong.

I discovered how to solve the toughest problem

in calculus and how to solve it

by thinking outside the box and thinking

beyond the frontiers of calculus and thinking

how to more accurately reformulate that calculus problem

from the laws of physics and thinking

how to more accurately reformulate that calculus problem

to large-scale algebra and thinking

how to solve that calculus problem not on an isolated processor

but in parallel and across 64 binary thousand

processors that were already available

in the market anyway. For me, Philip Emeagwali,

that unconventional thinking was an epiphany

because I discovered that the solution to the toughest problem

in calculus transcended calculus.

I discovered that, trying to solve the toughest problem in calculus

and trying solve that grand challenge problem

within only calculus is like seeking a material solution

to a spiritual problem, or turning to alcohol

to mend a broken heart. In the terra incognita

of the massively parallel processing supercomputer, only a polymath

can make the impossible-to-compute possible-to-compute

and do so by solving a multi-disciplinary

grand challenge problem and experimentally discovering

how and why parallel processing makes modern computers faster

and makes the new supercomputer the fastest.

Only a polymath can solve that tough problem

and solve it alone and present his proof-of-solution

in videotaped lectures that can be watched

from anyplace and anytime. It’s impossible

for a research, high-performance supercomputer scientist

that is not a polymath that is not at home in physics,

that is not at home in mathematics, and that is not at home in computing

to invent how to solve the initial-boundary value problems

that are governed by a system of coupled, non-linear,

time-dependent, and state-of-the-art partial differential equations

that is the toughest problem in calculus

that are classified as hyperbolic. It’s impossible

to invent how to solve that extreme-scale problem

and how to solve it across a new internet

that is a new global network of 64 binary thousand processors

that is a new supercomputer and a new computer.

It’s impossible to invent how to solve

those 64 binary thousand initial-boundary value problems

of modern calculus and how to solve them across

a new global network of 65,536 computers

that are identical and that are equal distances

apart. It’s impossible for me

—Philip Emeagwali— to experimentally discover

their solutions and their times-to-solutions

and to discover them without being at the frontiers

of mathematical, scientific, and technological knowledge.

It’s impossible for me to invent

the new supercomputer and discover it across a new internet

that’s defined and outlined by 64 binary thousand

tightly-coupled processors that shared nothing with each other.

It’s impossible for me to invent

the massively parallel processing supercomputer without foremost

mathematically understanding or experimentally discovering

how to solve the same initial-boundary value problems

and how to solve them on only one isolated processor

that was not a member of an ensemble of processors.

My understanding of the modern, fastest, parallel processing supercomputer

that computes with ten million six hundred and forty-nine thousand

six hundred [10,649,600] processors is deeper and surer

than it was—sixteen years earlier—when I programmed the sequential processing supercomputer

that used only one processor. I programmed

sequential processing supercomputers on June 20, 1974

and at age nineteen. I programmed the sequential processing supercomputer

that was at 1800 SW Campus Way,

Corvallis, Oregon, United States. In 1974, I programmed supercomputers

that were powered by only one isolated processor.

That processor was not a member of an ensemble of processors.

Sixteen years later, I understood high-performance supercomputers

better and, largely, because I had

experimentally discovered how to massively parallel program

the slowest 65,536 tightly-coupled processors in the world

and how to harness those processors to cooperatively solve

one computation-intensive problem arising in physics and mathematics.

The poster boy of computation-intensive problems

is the general circulation model that is used to foresee

otherwise unforeseeable global warming,

or used to foresee parts of the Earth

that could become horrifically inhospitable

for our children’s children. On the Fourth of July 1989

in Los Alamos, New Mexico, United States

I invented a new supercomputer

and I invented how to solve

the most computation-intensive problem arising in physics and mathematics

and I invented how to solve that problem

and how to do so at the fastest possible supercomputer speeds

ever recorded. The June 20, 1990 issue

of The Wall Street Journal recorded that I—Philip Emeagwali—

had invented how to use the slowest

65,536 tightly-coupled processors that shared nothing with each other

that were already available in the market and how to use those processors

to simulate the flow of crude oil and natural gas

flowing one mile deep and flowing across an oilfield

and how to use those processors to simulate the motions

of crude oil and natural gas and how to do so

to enable the petroleum geologist to recover otherwise unrecoverable

crude oil and natural gas. That excruciatingly-detailed supercomputer

simulation that I executed

via massively parallel processing across a new internet

and that I invented, or executed

by processing a million things at once, is used in the Niger Delta Region

of Nigeria and used to discover otherwise undiscoverable

crude oil and natural gas. My mathematical contributions

to the calculus used to simulate the flow of

crude oil and natural gas was the cover story

of the May 1990 issue of the SIAM News.

The SIAM News is the flagship publication of SIAM.

And SIAM is the acronym for the Society of Industrial

and Applied Mathematics. The SIAM is the number one society

for mathematicians and the SIAM News

is where a newsworthy contribution to mathematics is first reported.

In the June 1990 issue of SIAM News, a research computational mathematician that

thoroughly reviewed my mathematical discovery

and contributions to mathematics wrote that: [And I quote]

“I have checked with several reservoir engineers

who feel that his calculation is of real importance and very fast.

His explicit method not only generates lots of megaflops,

but solves problems faster than implicit methods.

Emeagwali is the first to have applied a pseudo-time approach

in reservoir modeling.” [end of quote] Once upon a time,

in the 1980s, to be exact, the mathematics teacher

did not know the mathematical steps needed to harness the power of

a new internet that is a new global network of

processors. The reason my contribution

to the modern supercomputer —that is a new internet—

was front page news in top mathematics publications,

such as the SIAM News, was that I—Philip Emeagwali—

was the first computational mathematician

to invent and write down the mathematical steps

for how to use a new internet that is a new global network of

64 binary thousand tightly-coupled processors

that shared nothing with each other. I invented

how to harness that new internet, as de facto

one cohesive, seamless, high-performance supercomputer

that computes in parallel. I invented

how to use that new supercomputer to discover otherwise elusivecrude oil and

natural gas. Once I wrote down

my mathematical steps, other computational mathematicians could follow

the Philip Emeagwali’s algorithm.

Mathematicians use my algorithm to program across

64 binary thousand, or more, tightly-coupled processors

that shared nothing with each other. Mathematicians use my algorithm

to discover and recover otherwise elusive

and unrecoverable crude oil and natural gas.

Modern mathematicians use the new knowledge

from my massively parallel processed communications

and computations that were synchronized

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

that shared nothing with each other and that were already available

in the market anyway and use that mathematical discovery

to solve problems that are otherwise unsolvable.

My quest for the solution to the toughest problem in calculus

did not follow a straight line. I made mistakes but I was open

to quick course corrections that took me to the unknown world

of parallel processing across a new internet

that is a small copy of the global internet

that encircles the Earth. My new internet

is a new global network of 64 binary thousand processors. My 1989 experimental discovery

of how and why parallel processing makes modern computers faster

and makes the new supercomputer the fastest

namely, the Philip Emeagwali formula that then United States President

Bill Clinton described in his White House speech of

August 26, 2000 occurred at the frontier of knowledge

about the massively parallel processing supercomputer.

That invention of the massively parallel processing supercomputer

that occurred on the Fourth of July 1989 in Los Alamos, New Mexico, United States

led me to discover that inventing a new technology

creates a need for a new vocabulary and a new narrative

for the histories of science and technology. After my invention

of the high-performance supercomputer, I became like the ancient mariner

who travelled around the world to tell his story to different people.

Since 1989, school children are asked to do a school report

on the contributions of Philip Emeagwali to the development of the supercomputer.

Back in 1989, it made the news headlines that a lone wolf

African supercomputer wizard that worked alone for sixteen years

across supercomputer laboratories in the United States

has invented the massively parallel processing

supercomputer and has invented

how to parallel compute, or solve a million problems (or processes)

at once, instead of solving only one problem

at a time. Those newspaper articles wrote that

his invention of the high-performance supercomputer

will have rich, fertile, and far-reaching consequences.

That African supercomputer wizard invented

how to always perform the fastest supercomputer calculations

and how to perform them by solving a million problems (or processes)

at once, instead of solving only one problem

at a time. I—Philip Emeagwali—

was that African supercomputer scientist that was in the news

back in 1989. I was in the news

because I experimentally discovered that the fastest speeds

in supercomputing can always be recorded

with massively parallel processing technology. That technology

enabled me to massively compute 65,536 things at once,

or in parallel at as many processors. My experimental discovery

that parallel processing is the engine that drives the

computer to compute faster and drives the supercomputer

to compute fastest made the news headlines

onwards of 1989. My invention

was widely recorded, from supercomputer publications

to the June 20, 1990 issue of the Wall Street Journal

and that invention remains the most talked about invention

in the history of computing. My invention

made the news headlines because I experimentally discovered

the fastest computation and I invented the technique

across the slowest 65,536 tightly-coupled processors

that are commonly available in the market.

My invention of the high-performance supercomputer

made the news headlines because I invented parallel processing

and I invented the technology when everybody rejected

parallel processing. I invented parallel processing

and I invented the technology as a lone wolf supercomputer programmer.

I experimentally discovered the fastest computation

and I invented the technique for discovering it by harnessing

the total computing power of a parallel processing machine

powered by an ensemble of the slowest 65,536

tightly-coupled processors in the world.

I experimentally discovered the fastest computation

that could be recorded with parallel processing technology.

I experimentally discovered the fastest supercomputer

and I invented the technology when the supercomputer textbooks

and the leaders of thought in supercomputing

predicted that parallel processing will not work within

the high-performance supercomputer. I invented

the massively parallel processing supercomputer

and I invented the technology when computational physicists

warned that it will forever be impossible

to compute many things (or process many processes)

at once. When I invented

the high-performance supercomputer, the 25,000 vector processing supercomputer

scientists in the world that were led by Seymour Cray

believed that parallel processing will forever remain

a huge waste of everybody’s time. I invented how to harness

the high-performance supercomputer that computes with a million,

or more, processors that were already available in the market

and how to harness those processors to massively parallel process

and how to harness the fastest, parallel processing supercomputer

to solve the toughest problems arising in computational physics,

such as when solving the initial-boundary value problems

arising in calculus, science, and engineering.

I invented how to harness parallel processing

and harness the technology to solve the most extreme-scale problems

arising in modern algebra. I invented

how to harness the high-performance supercomputer and harness it to solve

the toughest problems arising in extreme-scale

computational physics. That invention

was critical to solving the most vexing grand challenge problems

arising in science, technology, engineering, and mathematics.

I invented how to harness parallel processing

and harness the technology to solve the computation-intensive

problem that is described as petroleum reservoir simulation

and that was classified by the United States government

as one of the twenty most vexing grand challenges

in supercomputing. My invention

of how to solve a million problems (or process a million processes) at once

and how to compute simultaneously while solving the most

computation-intensive problems arising in extreme-scale

computational physics made the news headlines because

I was an unknown black, sub-Saharan African supercomputer scientist

that challenged the most well-known and well-regarded

supercomputer scientists of the 1970s and ‘80s.

Those leading lights of computing and supercomputing—namely,

the likes of Steve Jobs, Seymour Cray, and Gene Amdahl—warned that

parallel processing will forever remain impossible.

I was warned that I will never discover

the massively parallel processing supercomputer. I was warned that

I will never record the fastest speeds in computation

and record those speeds across my ensemble of the slowest 65,536 tightly-coupled

processors in the world. But on the Fourth of July 1989,

I discovered that the toughest problems

arising in extreme-scaled computational physics

that were believed to be impossible to solve

on only one processor are, in fact, possible to solve, across

a massively parallel processing supercomputer powered by a new global network

of the slowest sixty-five thousand

five hundred and thirty-six [65,536] identical processors

that were already available in the market

and that is a new internet, de facto. I invented

how to solve the toughest problems

arising in supercomputing and how to solve those problems

across my new global network of processors

that I named a “primordial internet”

and that I visualized as a small copy of the internet.

I visualized that new internet as a new global network

of 64 binary thousand processors that I could harness

to both communicate synchronously and to compute simultaneously

and to solve 65,536 problems and to solve them

with a one-to-one correspondence between problems and processors.

I invented how to massively parallel process

and how to compute across my new global network of

64 binary thousand processors that is a new internet.

I invented parallel processing and I invented the technology

when it was written in all supercomputer textbooks

that it will forever remain impossible to theoretically invent

how to parallel process and to invent

how to parallel compute across eight processors.

In the 1980s, I theoretically and experimentally discovered

that my new internet is a new supercomputer

and a new computer, de facto. The African-American poet,

Mari Evans, said: “Speak the truth

to the people.” My scientific truth was controversial

in the 1970s and ‘80s. In those two decades, I was banished

from the community of 25,000 vector processing

supercomputer scientists. I was forced to parallel program abandoned

massively parallel processing supercomputers as a lone wolf. The June 14, 1976 issue

of the Computer World —the flagship publication

of the computer world— carried an article titled: [quote]

“Research in Parallel Processing Questioned as ‘Waste of Time.’”

[unquote] My experimental discovery

that occurred on the Fourth of July 1989

was that parallel processing is not a huge waste of everybody’s time.

The reason my experimental discovery of parallel processing

was science cover stories in 1989 was that it opened the door

to promising lines of research in science, mathematics, engineering, and

technology. My invention

of the massively parallel processing supercomputer opened the door

to extreme-scale computations arising in physics, mathematics, chemistry,

and medicine. My invention

of how to massively parallel process and how to process across

millions upon millions of already-available processors

opened the door to a new world in which extreme-scale computations

that were previously impossible to compute

on a vector processing supercomputer are now possible to compute

across a new internet that is a new global network of

equidistant and identical processors

that were already available in the market anyway.

Briefly, the most computation-intensive problems

arising in physics include problems arising from

using the laws of physics and encoding those laws

into systems of partial differential equations

of modern calculus that are then reduced

to systems of equations of algebra

and that are then further reduced to an equivalent set of

floating-point operations of arithmetic. I’m Philip Emeagwali.

I contributed to the development of the

high-performance computer and I contributed

by inventing the technology of parallel processing

that is embodied in most computers and embodied in all supercomputers.

Philip Emeagwali is the subject of school reports because

my contributions changed the way we think of

the supercomputer. In the old way

and before my invention, we thought of the supercomputer

as solving only one problem at a time.

In the new way and after my invention,

we think of the supercomputer as solving

millions upon millions of problems at once.

On the Fourth of July 1989, I experimentally discovered

that the high-performance supercomputer must be powered by

the largest ensemble of processors

that were already available in the market anyway. The new high-performance supercomputer

is the fastest computer that must compute with numerous processors.

The new high-performance supercomputer scientist

is the extreme-scaled computational mathematical physicist

that adapted to the massively parallel processing supercomputer.

The modern supercomputer scientist had to adapt to massively

parallel processing or risk using

only a tiny proportion of the millions of

central processing units and millions of

graphics processing units that powers that high-performance supercomputer.

I predicted the speedup of the massively parallel processing supercomputer

that I experimentally confirmed and recorded

on the Fourth of July 1989. After my experimental discovery

of parallel processing the number of parallel processing supercomputers

exploded. Before the Fourth of July 1989,

it was said that parallel processing is a beautiful theory

that lacked experimental confirmation. After my experimental discovery

of parallel processing, all high-performance supercomputers

were parallel processing across thousands of central processing units and

across as many graphics processing units,

and even across millions of processors and co-processors.

To this day, the geometrical sketches of how each of my 65,536

processors were connected

to its sixteen nearest-neighboring processors and connected

in the sixteenth dimension is widely reprinted in school reports

on the contributions of Philip Emeagwali

to the development of the computer. My illustrations of my theorized

never-before-seen new internet that is a new supercomputer

and a new computer and that I visualized

as a new global network of central processing units

were hailed as beautiful and reprinted without any attribution

to Philip Emeagwali. Parallel processing, or doing many things

at once, instead of doing only one thing at a time

was ridiculed by Seymour Cray who was the leader of 25,000

vector processing supercomputer scientists. Philip Emeagwali

began programming supercomputers on Thursday June 20, 1974

in Corvallis, Oregon, United States. On the Fourth of July 1989,

Philip Emeagwali was the lone wolf fulltime programmer

of the most massively parallel processing supercomputer ever built.

I programmed the precursor to the modern supercomputer alone.

I programmed it alone because the community of 25,000

vector processing supercomputer scientists

of the decade of the 1980s that were led by Seymour Cray

scorned, ridiculed, and rejected the parallel processing supercomputer.

Those 25,000 supercomputer scientists followed the vector processing vision

of Seymour Cray and dismissed parallel processing

as a huge waste of everybody’s time. For the decade and half

that preceded the Fourth of July 1989,

I was mocked by the supercomputer community

and mocked for attempting to parallel process across

processors. I was advised that I was attempting

to process the impossible-to-process. Some research mathematicians

asked me to comment on the role of beauty

in my invention of my massively parallel processing supercomputer.

In my mathematical analysis, beauty comes first

and truth comes second. In my physical experimentation,

it is vice-versa. The beauty of parallel processing

resides in the speed of the supercomputer.

I invented how to reduce 180 years

of time-to-solution on one computer

to only one day of time-to-solution

across a new internet that is a new supercomputer

and a never-before-seen computer. Before my invention

of the massively parallel processing supercomputer

that occurred on the Fourth of July 1989,

the word “supercomputer” referred to a supercomputing machinery

that is powered by only one central processing unit.

After that invention, the word “supercomputer”

referred to a supercomputing machinery that is powered by up to

ten binary million central processing units.

For me—Philip Emeagwali—I explained my contributions

to the development of the supercomputer as my invention

of how to integrate millions upon millions of

central processing units and how to do so to emulate

one seamless, cohesive CPU. My virtual CPU

is faster than the fastest vector processing unit

that can be manufactured. I invented

a machinery that is a supercomputer in speed, or by definition,

but yet a new internet de facto. I was asked to be a prophet

and to prophesize how the computer will look like

in one thousand years. In his book titled

“Natural History,” the Roman author Pliny the Elder

explained that the breadth of Asia should be “rightly calculated.”

Pliny’s book was written in Latin and was published

between the years 77 to 79, or about two thousand years ago.

The Latin translation for the phrase “rightly calculated”

is “sane computetur.” In that sense, the word “computer”

was first used 2000 years ago. Each generation redefined the word “computer.”

Our descendants definition of the computer

will change to perhaps become synonymous and correspond to our phrase

“planetary-sized super-brain that enshrouds our Earth.”

For our post-human descendants of Year Million,

I foresee each person as a super-intelligent cyborg

that is part human, part machine, and part computer

with a great sense of humor. I foresee their super-brain

as enshrouding even the Solar System and as one super being

that can live forever. Dǎlụ́’nụ̀ (DAH-LOO nooh)

Afam mụ bu Chukwurah Philip Emeagwali. Abum onye onicha.

Bia ga fum na emeagwali dot com Ka omesia. I’m Philip Emeagwali

at emeagwali.com. Thank you. Thank you.

Thank you. Thank you very much. I’m Philip Emeagwali. [Wild applause and cheering for 17 seconds] Insightful and brilliant lecture