December 12, 2011
DNA sequencing approaches hold tremendous promise for society. The research of today will become the powerful diagnostic and therapeutic tools of tomorrow. In an era where researchers are increasingly looking to DNA to unlock the secrets of disease, many DNA sequencing centers are looking to cloud computing as a way to handle the data-intensive workloads. Indeed, data volumes are so large that current compression techniques are falling short. That's where the Sequence Squeeze contest comes in. The Pistoia Alliance is offering $15,000 for the best novel open-source NGS compression algorithm submitted before the closing date of March 15, 2012.
The contest itself is a good demonstration of the way cloud computing resources can support the field of DNA research. In an email, Competition Coordinator Richard Holland explained that the contest is hosted on Amazon servers and requires participants to enter their solutions packaged up as Amazon S3 buckets. This means that you need an Amazon account to enter, but Amazon Web Services offers a trial period free tier, which Holland says should be sufficient for most solutions. Entries will then be unpackaged and run on a testing machine hosted inside Amazon. The first 40 entries to the event will receive $20 AWS vouchers.
The distinguished panel of judges draws from the most-renowned sequencing centers in the world: the Wellcome Trust Sanger Institute in Cambridge, England; the Beijing Genomics Institute in China; and the Broad Institute in the United States.
For more information, visit the Sequence Squeeze Competition website.
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.