Accelerated systems, or GPU-powered systems, for the first time accounted for more than 100 on the list of the world’s 500 most powerful supercomputers. That’s a total of 143 petaflops, over one-third of the list’s total FLOPS.
NVIDIA Tesla GPU-based supercomputers comprise 70 of these systems – including 23 of the 24 new systems on the list – reflecting compound annual growth of nearly 50 percent over the past five years.
There are three primary reasons accelerators are becoming increasingly adopted for high performance computing.
- Moore’s Law continues to slow, forcing the industry to find new ways to deliver computational power more efficiently.
- Hundreds of applications – including the vast majority of those most commonly used – are now GPU accelerated.
- Even modest investments in accelerators can now result in significant increases in throughput, maximising efficiency for supercomputing sites and hyperscale datacentres.
“One day, all supercomputers will be accelerated. Leading supercomputing sites around the world have turned to GPU-accelerated computing, reflected in today’s TOP500 list. As the pace of discovery accelerates and researchers turn to computation, machine learning and visualisation, we fully expect to see this trend increase,” said Jen-Hsun Huang, Co-founder and Chief Executive Officer of NVIDIA.
Many of the world’s leading systems use NVIDIA Tesla accelerators, including the fastest supercomputers in 10 countries. These include: the fastest system in the US, Titan, at Oak Ridge National Laboratory; the fastest system in Russia, Lomonosov 2, at Moscow State University; and the fastest system in Europe, Switzerland’s Piz Daint, at the Swiss National Computing Center.