Over the next couple of years, Atos will be delivering two BullSequana supercomputers to the Finnish IT Center for Science (CSC) representing 11 peak petaflops of additional capacity.
More than a dozen research groups from government, academia and the corporate world have joined Intel to help advance its neuromorphic computing technology.
Researchers from Intel and the University of California, Berkeley have proposed a new category of logic and memory devices that could offer 10 to 100 times the energy efficiency of microprocessors based on complementary metal-oxide-semiconductor (CMOS) technology.
Roselectronika, a holding company of Rostec State Corporation, claims to have built a “compact mobile supercomputer” that can achieve 2.2 petaflops and has a storage capacity of 2.2 petabytes.
Here at SC18, Panasas has announced ActiveStor Ultra and PanFS 8, which according to the company represents the biggest change to its product set in a decade.
AMD’s Zen 2 EPYC processor, codenamed “Rome,” has yet to be released, but the chip has already staked out a future home in what will be one of the largest supercomputers in Europe. The upcoming system, known as Hawk, will be built by Hewlett Packard Enterprise and installed at the High-Performance Computing Center of the University of Stuttgart, also known as HLRS.
In what could be Intel’s most significant architectural advance in decades, the chipmaker unveiled a technology that will enable processors and other logic chips to be integrated into 3D packages.
A set of academic articles recently published on post-exascale supercomputing paint a picture of an HPC landscape that will be fundamentally different from the one we now inhabit. But the writeups avoid one obvious conclusion.
IBM researchers claim they have come up with a much more efficient model for processing neural networks, using just 8 bits for training and only 4 bits for inferencing. The research is being presented this week at the International Electron Devices Meeting (IEDM) and the Conference on Neural Information Processing Systems (NeurIPS).
Having moved on from beating up on world champion Go players, DeepMind has developed an artificial intelligence system that just captured top honors in a protein folding prediction competition. Known as AlphaFold, the technology has been two years in the making.
Episode 254: Addison Snell and Michael Feldman discuss the prospects for supercomputing architectures after exascale and Intel's plans, including the pursuit of 3-D memory technology.