Tag: CUDA
As always, there’s a flood of news coming out of NVIDIA’s annual GPU Technology Conference, being held this week in San Jose. In addition to the much-anticipated Pascal debut, CEO Jen-Hsun Huang revealed an expansive update to NVIDIA’s SDK…
Hewlett Packard Enterprise (HPE) for the second straight week introduced new server products with today’s launches aimed at high performance computing. The centerpiece is a GPU-accelerated deep learning platform (Apollo 6500) whose announcement coincides with start of NVIDIA’s GPU Technology Conference (GTC) being held this week in San Jose. HPE also announced a Lustre storage Read more…
NVIDIA today announced availability of its newest PGI Accelerator Fortran, C and C++ compilers (version 15.10) now with support for OpenACC directives-based parallel programming standard on x86 architecture multicore microprocessors. The new compilers allow OpenACC-enabled source code to be compiled for parallel execution on a multicore CPU or a GPU accelerator. “Our goal is to Read more…
The high performance computing (HPC) community is heading toward the era of exascale machines, expected to exhibit an unprecedented level of complexity and size. The community agrees that the biggest challenges to future application performance lie with efficient node-level execution that can use all the resources in the node. These nodes might be comprised of Read more…
Today marks the official release of the NVIDIA CUDA Toolkit version 6.5, which had previously been only available in its pre-release form. In a company blog post, NVIDIA’s Chief Technologist for GPU Computing Software Mark Harris covers the toolkit’s new features and improvements, including “support for CUDA Fortran in developer tools, user-defined callback functions in Read more…
As the exascale barrier draws ever closer, experts around the world turn their attention to enabling this major advance. Providing a truly deep dive into the subject matter is the Harvard School of Engineering and Applied Science. The institution’s summer 2014 issue of “Topics” takes a hard look at the way that supercomputing is progressing. In Read more…
The Jetson TK1 development kit is now shipping. Order what GPU maker NVIDIA calls the “first mobile embedded supercomputer” and you’ll get a board with the same core technology that’s in use by many of the world’s fastest supercomputers, including the top US system, Titan. You’ll also receive an AC adapter with power cord, a Read more…
Georgia Tech professor Jon Rogers recently completed what may be the world’s first GPU-enabled flight of an unmanned aircraft. Rogers and his team used a CUDA-on-ARM development board to guide the flight of a parafoil, as part of a successful mission, which took place on January 10, 2014. Parafoils are a type of parachute commonly Read more…
HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development.
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….
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