Breaking News
Boston Dynamics' Atlas just did a roundoff back handspring… yeah we're cooked
It's Not Just Pakistan - Foreigners from Around the World Who Are Not US Citizens...
Elon Musk's Darkest Secret - Dr. Eric Weinstein
Puerto Rico's Rep. Rivera Turned The Halftime Show Into an Anti-ICE Rant (VIDEO)
Top Tech News
SpaceX Authorized to Increase High Speed Internet Download Speeds 5X Through 2026
Space AI is the Key to the Technological Singularity
Velocitor X-1 eVTOL could be beating the traffic in just a year
Starlink smasher? China claims world's best high-powered microwave weapon
Wood scraps turn 'useless' desert sand into concrete
Let's Do a Detailed Review of Zorin -- Is This Good for Ex-Windows Users?
The World's First Sodium-Ion Battery EV Is A Winter Range Monster
China's CATL 5C Battery Breakthrough will Make Most Combustion Engine Vehicles OBSOLETE
Study Shows Vaporizing E-Waste Makes it Easy to Recover Precious Metals at 13-Times Lower Costs
Smart dust technology...
Argonne National Lab Polaris Pre-Exascale Supercomputer
U.S. Department of Energy's Argonne National Laboratory and Hewlett Packard Enterprise (NYSE: HPE) unveiled a new testbed supercomputer to prepare critical workloads for future exascale systems that will deliver up to four times faster performance than Argonne's current supercomputers.
Polaris will enable scientists and developers to test and optimize software codes and applications to tackle a range of artificial intelligence (AI), engineering and scientific projects planned for the forthcoming exascale supercomputer, Aurora, a joint collaboration between Argonne, Intel and HPE.
The $500+ million Exaflop Aurora was planned for 2021 but it has been delayed until 2022-2023. Aurora has been delayed waiting for Intel's Sapphire Rapids server chips. The first plan was for a 180 petaflop Aurora for 2018 but delays in earlier Intel chips caused the need for a new plan.
Polaris will deliver approximately 44 petaflops of peak double precision performance and nearly 1.4 exaflops of theoretical AI performance, which is based on mixed-precision compute capabilities. Polaris 1.4 AI ExaFLOPS does not use standard FP64 (64 bit floating point) for standard supercomputer performance metrics.