August 01, 2011
SUNNYVALE, CA, August 1 -- AMD AMD today announced its participation with the New York State Energy Research and Development Authority (NYSERDA), HP and Clarkson University in a significant research project that looks at the industry-wide challenge of channeling renewable energy directly to data centers.
"The distributed computing model of the cloud parallels the distributed power-generation model of solar and wind energy. Directing power to data centers from these emerging renewable energy resources without relying on a large-scale, traditional electrical grid is a key challenge," said Alan Lee, corporate vice president of Research and Advanced Development, AMD. "One ultimate goal is the co-location of dynamic energy sources with dynamic computing resources to improve the economics, performance, and environmental benefits of both infrastructures."
Because wind and solar-derived energy can be intermittent, this study will also examine critical questions of how to automatically shift a compute load between data centers and maintain reliability.
Backing from NYSERDA and additional private funding sources are enabling this proposal, developed by AMD engineers in conjunction with Clarkson University, to enter the research phase. Students will begin experimentation on effectively managing data through a distributed network based on renewable energy. The second phase of the project plans to incorporate hardware elements, including HP's Performance Optimized Datacenter (POD) based on the AMD Opteron(TM) processor, purpose-built for energy efficiency and cloud computing.
HP POD Technology HP's POD portfolio includes the industry's leading energy-efficient, modular data center. Built on HP Converged Infrastructure, HP POD technology provides clients currently burdened with aging infrastructure, limited space and shrinking budgets the agility needed to rapidly scale and meet increasing capacity demands. According to HP, the newest solution in the HP POD family, the EcoPOD, can offer 95 percent greater energy efficiency when compared to traditional brick-and-mortar data centers.(1) HP will offer this project its POD expertise in energy-efficient data center design that delivers maximum density with greater serviceability.
The AMD Research Office AMD Research conducts work on next-generation computing questions in the areas of systems and technologies, network infrastructure and power, among others. It also collaborates on projects with leading universities, public sector organizations and commercial labs worldwide.
About AMD AMD AMD -2.73% is a semiconductor design innovator leading the next era of vivid digital experiences with its groundbreaking AMD Fusion Accelerated Processing Units (APUs) that power a wide range of computing devices. AMD's server computing products are focused on driving industry-leading cloud computing and virtualization environments. AMD's superior graphics technologies are found in a variety of solutions ranging from game consoles, PCs to supercomputers. For more information, visit http://www.amd.com .
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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.
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.
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.
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.