Building the first exascale systems continues to be a high-profile endeavor, with efforts underway worldwide in the United States, the European Union, and Asia – notably China and Japan – that focus on competition between regional powers, the technologies that are going into the architectures, and the promises that these supercomputers hold for everything from research and government to business and commerce. …
It has been two years since chip maker Cavium rolled out its ThunderX Arm server processor roadmap and gave us the first glimpse of its second-generation ThunderX2 processors. …
We caught wind of the “Aurora” Vector Engine vector processor and the “Tsubasa” system from NEC that makes use of it ahead of the SC17 supercomputer conference, and revealed everything we could find out about the system and speculated a bit about how the underlying processor in the absence of real data. …
If the hyperscalers have taught us anything, it is that more data is always better. …
One of the arguments Intel officials and others have made against Arm’s push to get its silicon designs into the datacenter has been the burden it would mean for enterprises and organizations in the HPC field that would have to modify application codes to get their software to run on the Arm architecture. …
Seymour Cray loved vector supercomputers, and made the second part of that term a household word because of it. …
After a long, long wait and years of anticipation, it looks like IBM is finally getting ready to ship commercial versions of its Power9 chips, and as expected, its first salvo of processors aimed at the datacenter will be aimed at HPC, data analytics, and machine learning workloads. …
Governments like to spread the money around their indigenous IT companies when they can, and so it is with the AI Bridging Cloud Infrastructure, or ABCI, supercomputer that is being commissioned by the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. …
In high performance computing in the public sector, dollars follow teraflops and now petaflops. …
Makers of tightly coupled, shared memory machines can make all of the arguments they want about how it is much more efficient and easier to program these NUMA machines than it is to do distributed computing across a cluster of more loosely coupled boxes, but for the most part, the IT market doesn’t care. …
All Content Copyright The Next Platform