May 11, 2011
Although the discussion took place several months ago, we wanted to point you in the direction of one of the more interesting discussions presented at last year’s ISC Cloud event in Frankfurt, Germany.
At the event, which by the way is happening again this year, Josh Simons who heads VMware’s relatively new HPC cloud push presented one of the best arguments for HPC clouds while taking a necessarily realistic approach to some of its limitations.
As Simons describes in his abstract for the talk, which was just posted in full video format at VMware’s “Communities” page:
“Virtualization is the enabling substrate for Cloud computing. As such, it brings an array of benefits and challenges to the concept of clouds for HPC from both a manageability and performance perspective. From this talk, participants will gain a good understanding of the current state of performance for virtualized HPC applications as well as the prospects for further future performance improvements over the next few years. In addition, the primary value propositions for virtualization in HPC will be covered from the perspective of both cloud users and cloud providers, including dynamic resource management and application resilience.”
The video of Simons speaking on the topic of high performance computing in the cloud is one of the better ways we can think of to spend a free 30 minutes. While the discussion was presented last year, nearly all of the benefits and hurdles are still perfectly pertinent—if not in some ways more pronounced.
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.
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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.