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Engineers measured early computing devices in kilo-girls, a unit roughly equal to the calculating ability of a thousand women. By the time the first supercomputer arrived in 1965, we needed a larger unit. Thus, FLOPS, or floating point operations (a type of calculation) per second.
In 1946, ENIAC, the first (nonsuper) computer, processed about 500 FLOPS. Today’s supers crunch petaFLOPS—or 1,000 trillion. Shrinking transistor size lets more electronics fit in the same space, but processing so much data requires a complex design, intricate cooling systems, and openings for humans to access hardware. That’s why supercomputers stay supersize.
A few special call-outs: 1. CDC 6600 Rapidly sifted through 3 million of CERN’s experimental research images per year 2. ASCI Red Modeled the U.S.’s nuclear weapons’ capabilities, avoiding underground testing 3. IBM Sequoia Used more than 1 million cores to help Stanford engineers study jet engines 4. Sunway TaihuLight Reached a record 93 petaFLOPS by trading slower memory for high energy efficiency Sara Chodosh
This article was originally published in the May/June 2017 issue of Popular Science, under the title “The Bigger They Are,
the Harder They Compute.”
