November 15, 2011
Entrants aspire to advance Parkinson's and diabetes research, create stem cell knowledgebase, improve organic photovoltaics for solar cells and map genomic diversity
SEATTLE, Nov. 15 — Cycle Computing announced the finalists of the CycleCloud BigScience Challenge 2011 at Supercomputing 2011 in Seattle last night. The contest offers $10,000 of computation time, the equivalent of eight hours on a 30,000-core cluster to candidates who are working on behalf of non-profit organizations to further humanity and state of the art research.
Finalists were selected based on their proposal's long-term benefit to humanity, originality, creativity and suitability to run on CycleCloud clusters launched within Amazon Web Services (AWS). The grand prize, which includes an original $10,000 in credit from Cycle Computing and four hours of CycleCloud engineering support, will also include an additional $2,500 of credit from AWS.
Due to the impressive caliber of submissions, all finalists were awarded both the original $500 credit from Cycle Computing and an additional $1,000 credit from AWS. The finalists will be judged by Jason Stowe, CEO, Cycle Computing, and a panel of industry luminaries, including Matt Wood, technology evangelist for Amazon Web Services, Kevin Davies, editor-in-chief, Bio-IT World and Peter S. Shenkin, vice president, Schrödinger.
The finalists:
· Alan Aspuru-Guzik, professor in department of chemistry and chemical biology and Johannes Hachmann, postdoctoral fellow, Harvard Clean Energy Project: Hachmann and Aspuru-Guzik wish to conduct computational screening and design of novel materials for the next generation of organic photovoltaics (OPVs). The goal is to facilitate creating the next generation of photovoltaic cells.
· Jesus Izaguirre, associate professor of computer science and engineering and concurrent associate professor of applied and computational mathematics and statistics, University of Notre Dame: Izaguirre intends to explore mutations in proinsulin case misfolding and analyze the ability to stimulate the folding pathways of these mutations to provide mechanic insight into the events of onset of diabetes. He also plans to examine the dominant states in the folding pathways to enable structure-based drug design and the production of new therapies to combat this disease.
· Soumya Ray, assistant professor of neurology, Harvard Medical School: Ray's team has identified a mutation that represents the majority of Parkinson's disease patients. They seek to utilize the additional computational power to explore the dynamics of the protein and how it interacts with inhibitors to understand how drugs interact with the mutation, benefitting a large number of researcher and other drug discovery programs around the world.
· Victor Ruotti, computational biologist, Morgridge Institute for Research: Ruotti aspires to collect genetic information, specifically RNA alignments, from different types of cells to build an RNA-based indexing system for stem cells. Once these alignments are identified, analysis based on this knowledgebase will provide a better understanding of the overarching signaling mechanisms used by stems cells to support generation of personalized, cell-based therapies for a variety of diseases.
· Martin Steinegger, bioinformatics researcher, TU Munich ROSTLAB: Steinegger's team's goal is to provide access to every possible mutation in the gene sequence that will ever be observed in humans. To achieve, they have started a new project called SNAP-Map, which strives to calculate every possible single-nucleotide polymorphism (SNP) in human proteins to make this technology and data available worldwide. With this data available, researchers will have the ability to access the effect of mutations in individuals and advance the efforts towards individual medicine based on understanding human diversity and variation.
"We created the CycleCloud BigScience Challenge to remove boundaries and help democratize access to supercomputing resources" said Jason Stowe, founder and CEO, Cycle Computing. "As a bootstrapped company, we understand why researchers are usually confined to sizing their questions to the compute cluster they have, or can afford. These finalists highlight how utility supercomputing gives scientists the computational room to realize their vision, ask challenging questions, and move humanity forward."
Each finalist will provide a presentation and demo on their research to the Cycle Judging Panel followed by a 30 minute Q&A. The Finalists' entries will be judged against the contest criteria and the grand prize winner will be announced next year on the Cycle Computing site.
About Cycle Computing
Cycle Computing, a bootstrapped, profitable software company, delivers proven, secure and flexible utility supercomputing software and services since 2005. Cycle helps clients maximize existing HPC infrastructure and speed computations on servers, virtual machines, and on-demand in the cloud. Thanks to our CycleServer HPC management software and our CycleCloud fully-supported & secured HPC clusters, Cycle clients experience faster time-to-market, decreased operating costs, and unprecedented service & support. Starting with three initial Fortune 100 clients, Cycle has grown to deploy proven implementations at Fortune 500s, SMBs and government and academic institutions including JP Morgan Chase, Purdue University, Pfizer and Lockheed Martin.
-----
Source: Cycle Computing
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Read more...
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
Read more...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Read more...
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Read more...
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Read more...
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
Read more...
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.