Exascale Science looks at challenges in building and the scientific possibilities of next-generation computers that will operate at exaflops – processing power many times that of today’s fastest machines.
In the late 2000s, Lawrence Berkeley National Laboratory scientists Carl Steefel and David Trebotich had computational dream. They wanted… Read More
In kilometer-sized particle accelerators, electric fields hurtle small bits of matter at nearly light speed. Those fast, powerful particle beams… Read More
A computational model of an exploding star – a supernova – is the “quintessential multi-physics simulation,” says team designing codes… Read More
In the old days of cell biology, scientists knew the atomic structures of few membrane proteins. Now, amid the so-called… Read More
A transformative gale is blowing through the U.S. power industry. The Energy Information Administration puts wind power’s share of America’s… Read More
Note: Sandia National Laboratories' Mark Taylor is co-author of a paper, “A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale… Read More
The Aurora supercomputer – scheduled to arrive at the Department of Energy’s Argonne National Laboratory in 2021– stands to benefit… Read More
For high-performance computing (HPC) systems to reach exascale – billion billion calculations per second – hardware and software must… Read More
In the supercomputers of yore, "people wanted the operating system to just get out of the way,” says Pete Beckman,… Read More
Few would be surprised today that power – the rate of energy consumption – looms as a key constraint in tomorrow’s… Read More