November 08, 2012
BLOOMINGTON, Ind., Nov. 8 — Unlocking the genetic secrets of Alzheimer's disease, predicting the impact of hurricanes and discovering the origins of the universe—these are just a few of the ways Indiana University researchers use supercomputers and massive data analysis systems to understand and change the world.
Their work received a major boost with today's announcement of a significant data storage upgrade. IU will replace its current Data Capacitor with Data Capacitor II, a high-speed, high-capacity storage facility for very large data sets. With five petabytes of storage, Data Capacitor II will support big data applications used in computational research. That much data, written on DVDs, would make a stack more than three quarters of a mile high.
This announcement comes on the heels of the university's recent acquisition of Big Red II, the fastest university-owned supercomputer in the nation. (Read more about Big Red II.) With the addition of Data Capacitor II, Big Red II will be even more powerful.
"The ability to process and analyze massive data sets has become vital to the success of many fields of research, from the huge genomic sets required by the life sciences disciplines to gigapixel astronomical images," said IU President Michael A. McRobbie. "This significant expansion of our data storage and supercomputing facilities will enable IU to remain a university computing leader and allow the university to continue to compete at the highest levels for federal research grants, which are of central importance to our research mission."
IU is at the forefront of big data research in a range of fields (such as physics, astronomy and biomedicine) that generate large and complex data sets. In fact, IU received $533 million in grants and awards in fiscal year 2012 - the second-highest annual total ever for the university. Big Red II and Data Capacitor II will support this work and accelerate scientific findings.
"Data Capacitor II will be able to move large data sets quickly and easily," said Brad Wheeler, IU vice president for information technology and CIO. "This will facilitate collaboration with scientists at other institutions in ways that would have been essentially impossible in the past. More collaboration means the potential for significant discoveries in any number of fields."
IU partnered with DataDirect Networks (DDN) to develop Data Capacitor II. Big Red II and the DDN infrastructure will be installed in the IU Data Center in spring 2013.
"Indiana University is quickly becoming a global leader in the world of high performance computing, and DDN is proud be a strategic partner to IU during this exciting time," said Alex Bouzari, CEO and cofounder of DDN. "As high performance computing opens doors to understanding everything from the workings of the most dangerous diseases to the mysteries of space and time, IU promises to be at the forefront of extraordinary research efforts, and we look forward to continuing to work closely with the university's excellent HPC team."
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.
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.
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.