November 27, 2006
HP has announced that AMD has purchased several hundred HP BladeSystem c-Class server blades powered by AMD Opteron processors to support the development of its chip designs.
"HP's Linux-based BladeSystem solution's integrated consoles and power control help us to manage more servers without increasing our staff," said Mike Lowe, director, Chipset Engineering, AMD. "These new systems help AMD take advantage of the latest HP and AMD high-performance and power-saving technologies and dramatically increase the density of our world-class engineering design compute cluster to enable us to bring new generations of chip designs to market efficiently and cost-effectively."
AMD's new infrastructure is its first large deployment of blade servers in its engineering design environment. AMD is experiencing an increase in performance-per-watt of up to 30 percent in the new server blade-based environment compared to currently installed standard rack-mounted servers.
AMD's silicon design team will use the new systems for electronic design automation applications such as architecture, circuit and verification tasks on existing and future microprocessor design projects.
"Since its introduction in June of this year, HP BladeSystem c-Class is helping customers around the world move toward an automated, 'lights out' computing environment while reducing the costs and obstacles of a racked, stacked and wired environment," said Winston Prather, vice president and general manager, High Performance Computing Division, HP. "AMD is leading the way by implementing an adaptive infrastructure in a 17-inch enclosure that uses high-performing AMD Opteron processors."
AMD's engineering design environment is based on an open architecture run and managed with Linux and open source tools. The HP BladeSystem solution running Red Hat Enterprise Linux was proposed and implemented in AMD's Sunnyvale, Calif., and Boxborough, Mass., design centers by HP Platinum and Linux Elite partner, Dasher Technologies. Dasher, located in Aptos, Calif., offers integrated electronic design automation solutions and provided AMD with on-site system integration, management configuration and stress testing.
While the blades will be housed in AMD's Sunnyvale and Boxborough locations, they will also provide increased computing power to engineering teams in Texas, Colorado and India.
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).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.