HPC in the Cloud: QMachine Combines HPC with WWW

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March 14, 2013

QMachine Combines HPC with WWW

QMachine is a novel Web service that leverages ordinary browsers to execute distributed workflows. The service has three essential components: an API server, a Web server, and a website. In the video below, project lead Sean Wilkinson from the University of Alabama at Birmingham demonstrates several use cases for this innovative technology, including a real-world example for sequence analysis.

Wilkinson explains how an array X of URLs that point to FASTA files (hosted by the National Center for Biotechnology Information) are passed to the remote volunteer workers, which download the files, and in doing so parallelize the bandwidth as well as the computation. Each element is processed separately using a map function, and the result is sent back to the submitter machine's developer console.

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CometCloud: Using a Federated HPC-Cloud to Understand Fluid Flow in Microchannels

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

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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Avoiding Scientific Computing Bottlenecks in the Cloud

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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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.

Exploring the Potential of Heterogeneous Computing

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