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.
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).
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.
Amazon Web Services (AWS) has launched two new HPC cloud instances that support 100Gbps networking, as well as a network interface that supports MPI communication that can scale to tens of thousands of cores.