China is developing a new supercomputer designed to be “a prototype of an exascale computer.” Although the country is not expected to the field its first exascale machine until 2020, the prototype is scheduled to boot up before the end of this year. Most likely, the system in question is the infamous Tianhe-2A supercomputer.
Cray is going to build what will looks to be the world’s first ARM-based supercomputer. The system, known as “Isambard,” will be the basis of a new UK-based HPC service that will offer the machine as a platform to support scientific research and to evaluate ARM technologies for high performance computing. Installation of Isambard is scheduled to begin in March and be up and running before the end of the year.
The Mont-Blanc Project has selected Cavium’s ThunderX2 ARM processor to power its next prototype for exascale computing. The system will be constructed by Bull (Atos), leveraging the supercomputer maker’s “exascale-ready” sequana architecture, as well as the high-performance features of the ThunderX2 SoC product.
The release date for AMD’s Zen-based “Naples” CPU is still a few months away, but details about the new high performance server chip are already leaking into the public domain. Some of these specs are available in a recent report published at WCCFtech. Although much remains to be revealed, Naples is shaping up to be the first credible Xeon competitor that Intel has encountered in several years.
At the Rivers Casino in Pittsburgh this week, an artificial intelligence program will challenge four professional poker players to determine if a machine can beat humans at the most popular gambling card game in the world. The program, known as Libratus, was developed by AI researchers at Carnegie Mellon University (CMU) using the newly upgraded Bridges supercomputer at the Pittsburgh Supercomputing Center (PSC).
Like many tech companies, IBM is starting the new year by making a few predictions. One of them has to do with a software concept they call a “macroscope,” a software technology that can be used to analyze the complexities of the physical world. IBM predicts that within five years, such technology will “help us understand the Earth’s complexity in infinite detail.”