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Comprehensively Evaluating HPC Cloud Cost Benefits

Jul 30, 2013 | HP Labs partnered with the University of Illinois at Champaign-Urbana to comprehensively evaluate the feasibility of running high performance applications in the cloud. The research set out to answer many questions, including wondering how HPC applications fare in the cloud versus supercomputers which applications were best suited for cloud deployment, and what the cost benefits were for certain organizations in maintaining their high performance needs in a cloud.
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Coding Bioinformatics into the Cloud

Jul 24, 2013 | A team comprised primarily of researchers from the Technical University of Munich published a paper this month on a system that will offer cloud functionality to a bioinformatics toolset that covers high performance applications.
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Floating Genomics to the Cloud with AWS

Jun 05, 2013 | David Pellerin and Jafar Shameen, both of HPC Business Development at Amazon Web Services, gave a presentation at AWS Summit 2013 to discuss which industries and companies are using the cloud service to run HPC applications. The talk mostly centered on applications in genomics and the life sciences, as highlighted by a third speaker in Alex Dickinson, SVP of Cloud Genomics at Illumina.
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CometCloud: Using a Federated HPC-Cloud to Understand Fluid Flow in Microchannels

May 22, 2013 | 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.
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CERN, Google, and the Future of Global Science Initiatives

May 21, 2013 | 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).
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