×

Philip Emeagwali's video: Emeagwali: Why I Won the Top Prize in Supercomputing Alone Black Inventors and their Inventions

@Emeagwali: "Why I Won the Top Prize in Supercomputing Alone" | Black Inventors and their Inventions
I'm @Philip Emeagwali. When the Computer Society of The Institute of Electrical and Electronics Engineers gives its top award to a supercomputer inventor, computer scientists and the 450 thousand members of The Institute reads about it. After my widely-rejected experimental discovery was accepted and validated by The Computer Society, the naysaying vector processing supercomputer scientists that—at that time—did not believe in parallel processing supercomputers saw The Computer Society’s endorsement of my experimental discovery as a vote of confidence on massively parallel processing supercomputers. The public saw the news headlines on the African supercomputer wizard that won top US prize as a vote of confidence on Philip Emeagwali. In the decades of the 1960s through ‘80s, parallel processing was the subject of a titanic battle between the majority who believed that all supercomputers should be powered by a single, isolated processor and the minority who believed that all supercomputers should be powered by an ensemble of thousands of processors. That was the reason only one computational mathematician attended my public lecture on parallel processing that took place in November 1982 and took place in a lecture auditorium that was a short walk from The White House, Washington, D.C. Nine years later, my lecture on parallel processing supercomputing that I gave on July 8, 1991 in Washington, D.C. was before a standing room only audience of research computational mathematicians that were attending the largest international congress of mathematics. That audience—that was similar to the one of nine years earlier that humiliated, ridiculed, and rejected my experimental discovery of parallel processing—gave me a standing ovation. The Free Performance Lunch is Over After my experimental discovery of how and why parallel processing makes modern computers faster and makes the new supercomputer the fastest my telephone began to ring off the hook. It seemed like every other research computational scientist wanted to become my new best friend and my new scientific collaborator. So, I was not surprised when Steve Jobs tried to reach me by telephone in about June 1990. Steve Jobs wanted to know how he could harness the power of parallel processing to process images and to do so faster. To put things in context, back in June 1990, Steve Jobs was depressed and devastated because he was unceremonious removed from Apple Corporation, the company that he started. Looking for a new direction, Steve Jobs was intrigued by my experimental discovery of how and why parallel processing across a global network of 65,536 processors, or across a new internet, reduced 65,536 days, or 180 years, of time-to-solution on only one processor that is not a member of an ensemble of processors to just one day of time-to-solution across a new internet that is a global network of 65,536 commodity-off-the-shelf processors. Fast forward eighteen years, to June 9, 2008, Steve Jobs told the opening session of Apple’s Worldwide Developers Conference in San Francisco, California that parallel processing is still very challenging. As reported, the following day, in the June 10, 2008 issue of the New York Times, Steve Jobs told Apple’s Worldwide Developers that: [quote] “The way the processor industry is going is to add more and more cores, but nobody knows how to program those things,” Steve Jobs said. And he continued: “I mean, two, yeah; four, not really; eight, forget it.” [unquote] I experimentally discovered how and why massively parallel processing is at the heart of the fastest supercomputer. I experimentally discovered that massively parallel processing is a necessary condition for the fastest supercomputers. Historically, we never had new supercomputers without experimentally discovering faster supercomputer speeds. To achieve grand wizardry in fastest massively parallel supercomputing requires the visceral understanding that the massively parallel supercomputer is not a new computer, per se. TOPICS black physicists, famous black physicists, famous black mathematicians, famous black computer scientist, African American physicists, African American Inventors, black history month, famous black inventors, Black Inventors, Black Scientists, Famous Engineers of the 21st Century, today, still alive, in history, black, African, Nigerian, African American Inventors and Engineers, African American engineers For information about Philip Emeagwali, http://emeagwali.com https://facebook.com/emeagwali https://twitter.com/emeagwali https://instagram.com/philipemeagwali https://flickr.com/philipemeagwali https://linkedin.com/in/emeagwali https://soundcloud.com/emeagwali https://youtube.com/emeagwali   Philip Emeagwali 180120 1 2 of 3A

0

0
Philip Emeagwali
Subscribers
5.4K
Total Post
609
Total Views
19K
Avg. Views
379.6
View Profile
This video was published on 2020-02-21 01:00:35 GMT by @Philip-Emeagwali on Youtube. Philip Emeagwali has total 5.4K subscribers on Youtube and has a total of 609 video.This video has received 0 Likes which are lower than the average likes that Philip Emeagwali gets . @Philip-Emeagwali receives an average views of 379.6 per video on Youtube.This video has received 0 comments which are lower than the average comments that Philip Emeagwali gets . Overall the views for this video was lower than the average for the profile.

Other post by @Philip Emeagwali