December 16, 2010
TACC key to enhancing researcher productivity and statewide collaborations
AUSTIN, Texas, Dec. 16 -- The University of Texas System Board of Regents has unanimously approved $23 million for improvements that will increase connectivity and computer capacity for all 15 University of Texas institutions, support research projects, and foster stronger collaborations among scientists in Texas and around the world.
"We are pleased the regents authorized this effort, as it allows our 15 institutions to leverage all the research, financial and technical advantages of UT Austin's Texas Advanced Computing Center (TACC) so that all our campuses can develop their information technology infrastructures," said UT System Chancellor Francisco D. Cigarroa, M.D.
TACC Director Jay Boisseau, said, "Discoveries at the leading-edge of science require increasingly powerful computational technologies and are increasingly collaborative. This project will greatly enhance the ability of researchers at UT System institutions to address the most challenging computational problems, and to work together to make breakthrough discoveries."
The computing upgrades will enable UT System institutions to transmit and receive data at a rate of 10 gigabits per second through an intra-system connection. These enhancements will improve collaborations among investigators in Texas and with researchers in other states and countries as well.
"This boost in computational, networking and storage resources, accompanied by associated technical expertise, creates opportunity for researchers at UT System institutions who are constrained by limited access to such high-end resources," said Pat Teller, professor of computer science at the University of Texas at El Paso. "Such an investment by the UT System clearly will facilitate entry of faculty and students into computational engineering/science, advances in these disciplines and the emergence of new research-extensive universities in Texas."
The improvements will allow institutions to conduct projects using shared data storage. This will enable researchers from different sites to access a single data source, aiding collaboration. A UT Data Repository prototype will be developed to provide disk storage and data collection management software for open science and clinical research data.
"The promise of personalized medicine -- where individual genomic profiles will be associated with other valuable clinical samples and combined to build comprehensive genomic profiles, and where medical information is transferred through interactive media for the purpose of consulting, teaching and remote medical procedures -- will also benefit significantly from this investment," said Brian Herman, vice president for research at the University of Texas Health Science Center at San Antonio.
The proposal will provide funding for support staff to ensure that researchers across Texas can effectively use all of the advanced computing capabilities, including networking, central storage, data collection and high performance computing.
"Providing seamless access to the world-class computational resources at UT Austin to all institutions in the UT System will significantly impact research productivity, competitiveness and innovation across all System's institutions," said Juan M. Sanchez, vice president for research at The University of Texas at Austin. "This initiative is an important step towards ensuring that Texas continues to be a leader in the highly competitive arena of advanced computing."
-----
Source: Texas Advanced Computing Center
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).
Read more...
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Read more...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
Read more...
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.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
Read more...
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
Read more...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.