Nvidia
CSCS Top Right Frontpage
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Blog: From the Editor

From the Editor | Main Blog Index

OpenCL Makes It Official


The GPGPU contingent of the high performance computing crowd got another big boost on Tuesday with the release of OpenCL 1.0, which was announced at SIGGRAPH Asia in Singapore. OpenCL (Open Computing Language) is a royalty-free standard meant to provide a vendor-neutral programming interface for parallel computing hardware like GPUs, multicore CPUs, Cell-type processors and even digital signal processors. The immediate (or almost immediate) effect will be to bring a lot more general-purpose computing to GPUs, whether they are in servers, workstations or PCs. Eventually even handheld devices will be running GPU-accelerated software.

Both NVIDIA and AMD, who have been developing competing GPU computing products, were quick to announce support of the standard, and both vendors plan to have OpenCL-equipped SDKs in short order. Working from early specifications of OpenCL, AMD reports they are already running code on an initial implementation and plans to release a developer version of the ATI Stream SDK with OpenCL in the first half of 2009. According to Ars Technica, NVIDIA will have a beta implementation in Q1 of next year, with a production version in the second quarter.

OpenCL is bound to help both GPU vendors, but will benefit AMD proportionately more since the company doesn't have a popular software development environment driving its GPU computing platforms, like CUDA is doing for NVIDIA. The presence of OpenCL levels the playing field, at least on the software side. This of course assumes that OpenCL will catch on with developers. Since companies like AMD, Intel, NVIDIA, Apple, IBM, Freescale, Motorola, ARM, Nokia, Samsung and Texas Instruments are part of the original OpenCL working group, the standard looks like it's going to be supported on a very wide range of hardware.

Given the standard's hardware base and its vendor neutrality, more HPC developers should be encouraged to give GPU computing a whirl. But since OpenCL is a low-level interface -- even lower than CUDA -- its attraction is probably greatest for software tool developers. Application programmers are more likely to gravitate toward higher level development environments that sit on top of OpenCL. For example, the heterogeneous compiler tools being developed by PGI and CAPS Enterprise that we covered this week will almost certainly make use of OpenCL to take advantage of cross-platform parallelism. RapidMind, an OpenCL working group member, is also intending to incorporate the technology into its software development platform.

Another salutary effect of OpenCL will be the expansion of HPC into the PC realm. Since nearly every desktop and laptop has a GPU in it -- not to mention a multicore CPU -- OpenCL-based software will soon have a huge playground to romp in. Apple, the original driver behind the standard, is baking OpenCL into its "Snow Leopard" OS, due out next year. Microsoft was not part of the working group, but Windows developers should be able to write OpenCL-based apps too, since both NVIDIA and AMD will be supporting it on their own.

Even with GPU acceleration though, most PCs today are not powerful enough to run HPC apps in production mode. But they can still provide a platform for application development and testing. As GPUs become more powerful and more integrated into the CPU, the distinction between technical workstations, personal supercomputers and high-end PCs is likely to blur. Within a few years, it wouldn't surprise me to see standard PCs running HPC applications at a sustained performance of 3 to 5 teraflops.

Posted by Michael Feldman - December 08, 2008 @ 9:00 PM, Pacific Standard Time

Sponsored Links

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

Michael Feldman

Michael Feldman

Michael Feldman is the editor of HPCwire.

More Michael Feldman

Supermicro

Recent Comments

No Recent Blog Comments

Feature Articles

Exascale Advocates Stand on Nuclear Stockpiles

In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...

NSF Forges Further Beyond FLOPs

In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...

CERN, Google Drive Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Short Takes

NASA Builds 'Climate in a Box'

May 23, 2013 | The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...

Building Supercomputers with Raspberries

May 22, 2013 | At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

Blogs by Topics

Blogs by Author

HPC Blogroll


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events