David Schnyer, a cognitive neuroscientist at The University of Texas at Austin has developed machine learning software to diagnose depression based on MRI brain scans. The software was trained on Stampede, a 9.6- petaflop supercomputer housed at the Texas Advanced Computer Center (TACC).
This week in San Francisco, Intel held its first Manufacturing and Technology Day, an event designed to reassure investors and customers that Moore’s Law is alive and well and delivering the cost and performance benefits it has for the last 50 years. However, to make that claim viable, the chipmaker has recast the law to deal with the realities of a slowdown in transistor shrinkage.
The Engineering and Physical Sciences Research Council (EPSRC) has allocated £20 million for six new tier 2 supercomputing centers spread across the United Kingdom. The facilities are aimed at supporting both academic and industrial users and will house medium-sized supercomputers for scientific research and engineering.
NVIDIA has revealed that Chinese internet giant Tencent will deploy Tesla GPUs in its public cloud infrastructure. The GPUs are being deployed to help enterprise customers develop machine learning services.
Intel has released the DC P4800X, the company’s first SSD equipped with 3D XPoint, a next-generation non-volatile memory that offers performance and endurance that approaches DRAM. The device can be used accelerate workloads in the datacenter bound by memory capacity.
As China, the US and Japan near the finish line in exascale race, the DOE and NSA are sounding the alarm that the United States is at grave risk of losing its dominant position in high performance computing. According to the assessment of the two agencies, “absent aggressive action by the US – the US will lose leadership and not control its own future in HPC.”
The Trump administration outlined dramatic cuts for nearly every federal agency in order to pay for a $54 billion increase in Department of Defense spending. Those rollbacks would include a 20 percent annual reduction at the Department of Energy (DOE) Office of Science, which would almost certainly put the agency’s pre-exascale and exascale programs in jeopardy.
Quantum computing specialist D-Wave Systems has revealed that it has sold a 2000Q machine to Virginia Tech, while simultaneously announcing that Google, NASA and the Universities Space Research Association (USRA) will also upgrade their 1000-qubit system with a new 2000Q.