Tag: GPU computing
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/John_Gustafson.jpg” alt=”” width=”83″ height=”101″ />AMD looks like it’s getting set to jump back into the GPU computing arena with chips a-blazin. A couple of weeks ago, the company signed up HPC industry-heavyweight John Gustafson as the chief architect for the Graphics Business Unit. Gustafson will essentially fill the CTO role there, driving the technology roadmap and direction for the chipmaker’s discrete GPU business. And he’s got a few ideas on how he’s going to do that.
Hyper-Q feature designed to make MPI run faster than ever before.
Free compiler allows Java developers to target GPU accelerators.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/FirePro_w9000_small.png” alt=”” width=”115″ height=”96″ />Advanced Micro Devices (AMD) has launched six new FirePro processors for workstation users who want high-end graphics and computation in a single box. One of them promises a teraflop of double precision performance as well as support for error correcting code (ECC) memory. The new offerings also includes two APUs (Accelerated Processing Units) that glue four CPU cores and hundreds of FirePro GPU stream cores onto the same chip.
Scientists use latest Cray supercomputer to figure out how to make better ice cream.
With the right software, GPUs can speed chip design.
SoftLayer joins ranks of HPC cloud vendors.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Samaritan_demo_image_small.bmp” alt=”” width=”102″ height=”97″ />NVIDIA debuted its much-talked-about Kepler GPU this week, promising much better performance and energy efficiency than its previous generation Fermi-based products. The first offerings are mid-range graphics cards targeted at the heart of the desktop and notebook market, but the more powerful second-generation Kepler GPU for high performance computing is already in the pipeline.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/OpenCL_logo.png” alt=”” width=”80″ height=”76″ />As the two major programming frameworks for GPU computing, OpenCL and CUDA have been competing for mindshare in the developer community for the past few years. Until recently, CUDA has attracted most of the attention from developers, especially in the high performance computing realm. But OpenCL software has now matured to the point where HPC practitioners are taking a second look.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/digital_time_tunnel_small.jpg” alt=”” width=”118″ height=”95″ />With 2011 officially in the books, it’s time to offer a few predictions about the upcoming year in HPC. In general, I expect 2012 to continue the major trends we’ve seen over the past couple of years, namely the increased adoption of GPU computing into the mainstream and more parity of HPC capability around the world, as exemplified by China. There may, however, be one or two new trends to pop up.