A new 60 teraflops supercomputer and 1 petabyte high speed storage system recently installed on the campus of the University of California at Santa Cruz will give astrophysicists at the college the computational and storage headroom they need to model the heavens like never before.
Steve Scott has given up his job as the chief technology officer for NVIDIA’s GPU business to help build big systems for Google. It’s unclear exactly what Scott, who formerly designed interconnects for Cray, will be doing at the Internet giant, but the smart money is that it’s something big.
NVIDIA used a recent graphics conference to demonstrate Project Logan, the low-power version of the Kepler GPU that it’s developing for smartphones and tablets. The GPU maker says that, when it ships, Project Logan will enable graphics capabilities for mobile devices that are on par with the most powerful desktop- and console-based gaming systems.
Moments ago, NVIDIA announced its acquisition of the Portland Group (PGI) which has provided compiler and tools for the HPC-oriented C and Fortran markets. According to the company’s Sumit Gupta, this will allow them to further build their software portfolio and to push the adoption of GPUs through OpenACC in particular. NVIDIA and PGI will…
With ever more surveillance footage at home and abroad, there is an increasing need to handle, in near real-time, the immense processing required to sift through faces, spaces and signals. This week NVIDIA targeted the government and military geospatial intelligence community with a targeted stack of common packages for GeoInt (geospatial intelligence) developers and analysts….
This week we talked with AMD’s GM of the Server Business Unit, Andrew Feldman about his company’s role in the future of HPC. We asked how invested they are in the future of this market, what technologies will push their drive forward, and where they see the biggest opportunities in high performance computing. Interestingly, we found that….
NVIDIA will develop exascale-class supercomputers that feature hundreds of thousands of GPUs for the UK’s Science and Technology Facilities Council (STFC), the organizations announced in June. The massive, government-funded systems will be used to further scientific research in the UK, and create a center of excellence for parallel programming.
When an underdog team of undergrads from South Africa arrived in Leipzig, Germany for the 2013 Student Cluster Challenge last week, they had the odds stacked against them. But what the team lacked in experience was more than made up for with intestinal fortitude, not to mention a heavy dose of NVIDIA GPUs.
While there is a universal desire in the HPC community build the world’s exascale system, the achievement will require a major breakthrough in not only chip design and power utilization but programming methods, NVIDIA chief scientist Bill Dally said in a keynote address at ISC 2013 last week in Leipzig, Germany.
The mainstream adoption of accelerator-based computing in HPC is driving the most significant change to software since the arrival of MPI almost twenty years ago. Faced with competing “similar but different” approaches to heterogeneous computing, developers and computational scientists need to tackle their software challenges quickly. They are rapidly discovering that a single unified development toolkit able to both debug and profile is the key to results – whichever platform they choose.