This week we spoke with Jörg Lotze, CTO and cofounder of financial services-driven software firm, Xcelerit, about benchmarking accelerators, coprocessors, and multicore architectures with specific emphasis on how GPUs stack up against Intel Xeon Phi coprocessors. Lotze discussed the challenges and opportunities of each in the context of real-world Monte Carlo examples.
When it comes to mainstream adoption of the use of GPUs and other accelerators, one of the primary barriers lies in programmability. While the vendor communities around accelerators have pushed to flatten the learning curve, the fact remains that it takes special effort on the part of ordinary developers to undertake the educational process. In this in-depth audio feature, we talk to Rice University researcher, Max Grossman about how Java…
A new SGI system has been installed at Wright-Patterson Air Force base in Dayton, Ohio as part of the Department of Defense’s HPC Modernization Program. The Air Force will be using the new SGI ICE X machine for particular modeling and simulation efforts as well as….
Not content to let the Tianhe-2 announcement ride alone, Intel rolled out a series of announcements around its Knights Corner and Xeon Phi products–all of which are aimed at adding some options and variety for a wider base of potential users across the HPC spectrum. Today at the International Supercomputing Conference, the company’s Raj….
This week we’re at the IDC User Forum in Tucson, staying cool amidst some heated talks about which processor, coprocessor and accelerator approaches are going to push into the lead in the next few years. To take this pulse, we sat down with IDC’s Steve Conway to talk about some general trends that are a tall drink of water for a few key vendors, including Intel, NVIDIA…..
<img src=”http://media2.hpcwire.com/hpcwire/test_tube_image_200x.jpg” alt=”” width=”93″ height=”61″ />The top research stories of the week include the 2012 Turing Prize winners; an examination of MIC acceleration in short-range molecular dynamics simulations; a new computer model to help predict the best HIV treatment; the role of atmospheric clouds in climate change models; and more reliable HPC cloud computing.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/research_globe_150x.jpg” alt=”” width=”95″ height=”89″ />The top research stories of the week have been hand-selected from major science centers, prominent journals and leading conference proceedings. Here’s another diverse set of items, including whole brain simulation; a look at High Performance Linpack; the coming GPGPU cloud paradigm; heterogenous GPU programming; and a comparison of accelerator-based servers.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/OpenMP_logo_small.bmp” alt=”” width=”112″ height=”36″ />OpenMP, the popular parallel programming standard for high performance computing, is about to come out with a new version incorporating a number of enhancements, the most significant one being support for HPC accelerators. Version 4.0 will include the functionality that was implemented in OpenACC, the accelerator API that splintered off from the OpenMP work, as well as offer additional support beyond that. The new standard is expected to become the the law of the land sometime in early 2013.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/FirePro_S10000_Angle_black_180.jpg” alt=”” width=”98″ height=”85″ />AMD is launching its most powerful graphics card yet: the dual-GPU FirePro S10000 promises 5.91 teraflops of peak single precision and 1.48 teraflops of peak double precision floating point performance. And with AMD’s “Graphics Core Next” (GCN) architecture under the hood, the S10000 can deliver compute and graphics processing simultaneously.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/OpenACC_logo.bmp” alt=”” width=”139″ height=”47″ />PGI, Cray, and CAPS enterprise are moving quickly to get their new OpenACC-supported compilers into the hands of GPGPU developers. At NVIDIA’s GPU Technology Conference this week, there was plenty of discussion around the new HPC accelerator framework, and all three OpenACC compiler makers, as well as NVIDIA, were talking up the technology.