Many now consider simulation the third pillar of scientific inquiry, alongside the centuries-old pillars of theory and experiment.
CS Digest Section: High Performance Computing
It's no secret that Google has developed its own custom chips to accelerate its machine learning algorithms. The company first revealed those chips, called Tensor Processing Units (TPUs), at its I/O developer conference back in May 2016, but it never went into all that many details about them, except for saying that they were optimized around the company’s o
To find out whether quantum computers will work properly, scientists must simulate them on a classical computer. Now a record-breaking experiment has simulated the largest quantum computer yet.
LEGO-style Building Method Has Potential for Making One-Dimensional Materials with Extraordinary Properties.
The Cray systems will be located at the U.S. Army Engineer Research and Development Center DoD Supercomputing Resource Center (ERDC DSRC) in Vicksburg, Mississippi.
The pod system, with scalable, low size, weight and power hardware architecture, is designed to enable on-board processing of large quantities of sensor data through high-performance embedded computing (HPEC).
Traditional programmable computers are facing fundamental limitations in terms of speed and size, inspiring increasing interest in alternative paradigms such as neuromorphic computing.
In recent months, scientists at the Pittsburgh Supercomputing Center reported progress in the fields of genomics, public health, chemistry and machine learning thanks, in part, to a new National Science Foundation-funded supercomputer – Bridges.
Today SUSE announced Intel will distribute SUSE Linux Enterprise Server for High Performance Computing as an option for the recently introduced Intel HPC Orchestrator, an Intel-supported HPC system software stack.
Compilers that translate the human readable program into the instructions that will execute on the processor or coprocessor can be directed to look at parts of the application and create optimized and vectorizable code.