August 06, 2008
Plans full support of Microsoft DirectX 11 and OpenCL to enable increased C/C++ cross-platform programming efficiency
Sunnyvale, Calif., Aug. 6 -- AMD today announced efforts to help further increase the ease and efficiency of software development using AMD Stream processing with an extensive set of upgrades planned for future versions of the Stream Software Development Kit (SDK).
The improvements are designed to reduce the time and effort needed to produce GPU accelerated applications that run on multiple platforms, by expanding support for industry standard application programming interfaces (APIs) and providing enhanced support for C/C++.
Through a series of updates to the SDK scheduled over the course of the next 18 months, AMD plans to add full support for DirectX 11, the next-generation suite of advanced APIs from Microsoft.
DirectX 11 is expected to build upon the already outstanding performance of DirectX 10.1 for 3-D graphics rendering and gaming control. It is also being designed to introduce a host of new technologies aimed at making it easier for programmers to create general purpose graphics processing (GPGPU) accelerated applications that can run on any Windows Vista powered platform.
"Just as it ushered in the era of advanced 3-D gaming for the masses, DirectX is poised to be at the vanguard of the GPGPU revolution," said Anantha Kancherla, manager of Windows desktop and graphics technologies for Microsoft. "DirectX 11 gives developers the power to more easily harness the astonishing capabilities of AMD GPUs for general purpose computation, and gives consumers an effortless way to experience all that AMD Stream has to offer, on the hundreds of millions of Microsoft Windows powered systems worldwide."
As previously announced AMD is also supporting efforts to develop OpenCL as an open standard and plans to evolve the Stream SDK to be OpenCL compliant. Through equal support for both DirectX 11 and OpenCL, and by continuing to give developers the option of creating and using their own programming languages and high level tools, AMD is executing on a strategy designed to give programmers maximum choice and flexibility.
"Industry standards are essential to unlocking the compute potential of GPUs and driving broad adoption of this capability in mainstream applications," said Rick Bergman, senior vice president and general manager of the graphics product group at AMD. "GPGPU is now moving past the era of closed and fully proprietary development chains. With the advent of DirectX 11 and OpenCL, C/C++ programmers worldwide will have standardized and easier ways of leveraging the GPU's computational capabilities."
AMD will also continue to enhance and support the Brook+ programming language, providing programmers a stable, high-performance platform for accelerating their applications.
About AMD Stream
AMD Stream is a set of open AMD technologies that allow the hundreds of parallel Stream cores inside AMD GPUs to accelerate general purpose applications, resulting in platforms capable of delivering dramatically high performance-per-watt. The freely distributed, fully open Stream SDK allows programmers to make advanced use of AMD hardware, and helps them to create fast, energy efficient applications on a growing variety of platforms and operating systems.
About AMD
Advanced Micro Devices (NYSE: AMD) is a leading global provider of innovative processing solutions in the computing and graphics markets. AMD is dedicated to driving open innovation, choice and industry growth by delivering superior customer-centric solutions that empower consumers and businesses worldwide. For more information, visit www.amd.com.
-----
Source: AMD
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...
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...
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
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...
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...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
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.
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.
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.
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.