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.
A number of established trends in HPC continued to gather momentum in 2018. But there were also a few surprises. Let’s take a closer look at the more notable developments.
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.
In what could be Intels 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 group of researchers are using deep learning to improve the speed and accuracy of supercomputer-powered climate simulations.
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.
More than a dozen research groups from government, academia and the corporate world have joined Intel to help advance its neuromorphic computing technology.
Episode 253: Addison Snell and Michael Feldman analyze three big announcements out of Amazon Web Services in HPC, Hyperscale and Enterprise computing.
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.
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).
