World’s first exascale computer arrival confirmed
In a major milestone for computing, Oak Ridge National Laboratory today announced that Frontier has achieved 1.1 exaFLOPS .The world’s fastest supercomputer performed more than a quintillion calculations per second, entering the realm of exascale computing. That’s according to a ranking of the world’s speediest supercomputers called the TOP500, announced on 30th May, 2022. The computer, known as Frontier, is the first exascale computer to be included on the biannual list.
Exascale computing is expected to allow for new advances in a variety of scientific fields that depend on vastly complex calculations. This milestone “represents an unprecedented capability for researchers around the world to use the computer to ask their specific scientific questions,” says Frontier’s project director Justin Whitt of Oak Ridge National Laboratory in Tennessee.
Oak Ridge’s Frontier clocked in at about 1.1 exaflops, or 1.1 quintillion operations per second. Frontier beat out the previous record-holder, a supercomputer called Fugaku at the RIKEN Center for Computational Science in Kobe, Japan, which achieved more than 0.4 exaflops.
What is an Exascale system ?
It refers to computing systems capable of at least one exaflop or a billion billion calculations per second (1018). That is 50 times faster than the most powerful supercomputers being used today and represents a thousand-fold increase over the first petascale computer that came into operation in 2008.
Benefits of this tech invention
While tentative reports have suggested that some Chinese supercomputers are already achieving exascale performance, they have not been reported on the TOP500 ranking so far. As of June 2020, China had two of the five fastest supercomputers in the world. China’s first exascale supercomputer will enter service after mid-2020 according to the head of the school of computing at the National University of Defense Technology (NUDT).
After about three years of development, Frontier will be ready for scientists to begin using it at the end of 2022. With its new exascale capability, researchers aim to simulate how stars explode, calculate the properties of subatomic particles, investigate new energy sources such as nuclear fusion and harness artificial intelligence to improve the diagnosis and prevention of disease, among many other research topics.
Read More : Behold! This is the first photo of the Milky Way’s monster black hole Sagittarius A
