December 02, 2005
Microsoft Corp. Chairman and Chief Software Architect Bill Gates earlier this month announced that Microsoft is funding joint research at the Texas Advanced Computer Center (TACC) at The University of Texas at Austin as well as nine other academic centers worldwide. The announcement, made at Supercomputing 2005, ties directly into Microsoft's long-term commitment to working with the high-performance computing community.
In his keynote address to more than 7,000 attendees, Gates articulated how the software industry can contribute to accelerating scientific research and engineering innovation, and called for broad collaboration between the computing industry, academia and government to make technical computing easier and more productive. He also emphasized his enthusiasm for the future role of computing in scientific discovery.
"Technical computing is crucial to the many discoveries that impact our quality of life from making safer, more efficient cars and airplanes to addressing global health issues and environmental changes," Gates states in a Microsoft press release. "Moreover, most sciences are becoming computational sciences, which is why advanced computing capabilities need to be seamlessly integrated into the end-to-end scientific process. We see many opportunities to collaborate with the scientific community on innovative solutions that will accelerate the pace of insight and discovery."
TACC Director Dr. Jay Boisseau says that the joint research projects with Microsoft will leverage each of the five technology groups at TACC:
Microsoft selected TACC as one of ten advanced computing centers worldwide to work with because of the center's deep expertise in high-performance computing and comprehensive knowledge in the other areas listed above.
In addition to evaluating Microsoft's Windows Cluster Edition in traditional HPC applications, TACC will focus its participation in the Microsoft Technical Computing Initiative on the use of relational database technology, specifically SQL Server, in science and engineering.
"One of our projects with Microsoft will be the evaluation of database technologies for different types of scientific data traditionally stored in flat files," Boisseau says. "We hope the results of this project will help researchers improve their ability to effectively use and analyze the large amounts of scientific data made available from new, more powerful instruments and increasingly large HPC systems."
To achieve this end, TACC will assess the suitability of using Relational Database Management System technology in the storage, retrieval and processing of different kinds of scientific data collections spanning a range from geospatial (next-generation radar precipitation), bioinformatics (ribosomal ribonucleic acid) and volumes (computed tomography of fossils) to data associated with traditional finite element simulations (computational fluid dynamics).
This will require exploration of some of SQL Server 2005's new capabilities such as user-defined types, embedded code, as well as the evaluation of how to maximize parallel I/O from the database to outboard compute resources or indeed, to use the database to minimize the need to move large amounts of unneeded data.
"We want to answer the question of whether the modern database, deployed in a clustered configuration and taking advantage of parallel processing capabilities, can provide advantages to the researcher and accelerate the production of knowledge and insight," says Tomislav Urban, manager of TACC's Data and Information Systems Group.
TACC was one of ten academic institutes selected by Microsoft. The multiyear, multimillion-dollar investment in joint research projects at these institutes will help guide ongoing software research and product innovation at Microsoft to address the most challenging technical computing problems. These institutes are Cornell University (U.S.); Nizhni Novgorod State University (Russia); Shanghai Jiao Tong University (China); Tokyo Institute of Technology (Japan); University of Southampton (England); University of Stuttgart (Germany); University of Tennessee (U.S.); University of Texas at Austin (U.S.); University of Utah (U.S.); and University of Virginia (U.S.).
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...
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.