February 07, 2013
NEEDHAM, Mass., Feb. 7 – The Cloud Standards Customer Council (CSCC) will be hosting the “Big Data in the Cloud: Preparing for the Future” conference at its quarterly meeting on Monday, March 18th at the Hyatt Regency in Reston, VA. Both members and interested nonmembers are invited to attend. The conference will provide a forum on preparing for the future of big data in the cloud.
The conference will be an all-day event that will feature case-studies from organizations such as IBM, Lockheed Martin, NIST and State Street. There will also be a vendor panel featuring representatives from Amazon, IBM, Microsoft and Oracle.
Specific topics will include the industry impact, financial opportunities, security implications, and vendor landscape of big data in the cloud, as well as a talk on big data for energy analytics. The conference will conclude with a discussion on the role of standards in big data in the cloud.
To kick off the event, CSCC will be hosting a webinar on Thursday, February 14th at 1pm EST. The discussion will be led by the chairs of the CSCC’s new Big Data Working Group: Jim Kobielus of IBM and Dr. Robert Marcus of ET-Strategies. Besides the conference, the webinar will focus on the working group’s charter and future planned deliverables. To register for the webinar, visit: https://www1.gotomeeting.com/register/885256624.
The registration fee is $195 for CSCC members; $225 for nonmembers. Registration for the “Big Data in the Cloud” conference is available at: www.cloud-council.org/031813/index.htm.
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.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.