This week the TOP500 list of the world’s fastest supercomuters found that, once again, Fugaku is number one, benchmarking at 442 Pflop/sec, making it three times faster than the second place machine. Impressive, but also indicative that it might also be the first to break the exaflop barrier if it’s working on the right kind of problem.
TOP500 pointed out that Fugaku’s score (and everyone else’s) is based on double-precision benchmarks, the most accurate floating point math calculation you can do. But much of AI and machine learning is single-precision, which can be less than half the compute power of double precision.
Source:: Network World – Data Center