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May 23, 2012
May 23 -- A research paper whose co-authors include LSU's Gabrielle Allen, Werner Benger, Andrew Merzky, and Ed Seidel has been named by the International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) as one of the top 20 papers in the past 20 years of publications. Gabrielle Allen is associate professor of LSU's Department of Computer Science and Center for Computation & Technology (CCT), Werner Benger and Andre Merzky are research scientists at the LSU CCT; and Ed Seidel is professor of the LSU Department of Physics & Astronomy and former director of the LSU CCT.
HPDC is the premier computer science conference for presenting new research related to high-performance parallel and distributed systems used in both science and industry. Since its inception, HPDC has been at the center of new discoveries in systems such as clusters, grids, clouds, and parallel and multicore computers.
Published in 2000, "The Cactus Code: A Problem Solving Environment for the Grid" explained how the intensive computing requirements of physics applications using the Cactus Code encourage the use of distributed and metacomputing, described the development and experiments which were performed with Cactus, and detailed how its design made it an ideal application test bed for Grid computing.
Originating in the academic research community, Cactus has been developed and used over many years by a large, international collaboration of physicists and computational scientists. Specifically, Cactus is an open-source problem-solving environment designed for scientists and engineers. Its modular structure facilitates parallel computation across different architectures and collaborative code development among different groups.
The Cactus group at CCT continue to innovate in software that advances both physics and computer science, and in particular lead the development of the Einstein Toolkit to provide a cutting edge toolkit for relativistic astrophysics which has been adopted by some 60 groups around the world.
The papers were nominated by members of the HPDC community at large, and a special committee narrowed the list to the best 20. A special edition issue containing the 20 papers will be distributed at the HPDC's 2012 meeting, to be held this summer in the Netherlands.
G. Allen, W. Benger, T. Goodale, H.C. Hege, G. Lanfermann, A. Merzky, T. Radke, E. Seidel, and J. Shalf, The cactus code: “A Problem Solving
Environment for the Grid,” High-Performance Distributed Computing, 2000. Proceedings. The Ninth International Symposium on, IEEE, 2000, pp. 253–260.
Not content to let the Tianhe-2 announcement ride alone, Intel rolled out a series of announcements around its Knights Corner and Xeon Phi products--all of which are aimed at adding some options and variety for a wider base of potential users across the HPC spectrum. Today at the International Supercomputing Conference, the company's Raj....
The Top 500 list of the world's fastest computers has just been announced. Not surprisingly, since it's been reported on prior to the official announcement, the Chinese Tianhe-2 system tops the list. And that is an understatement. We talk with Jack Dongarra, Horst Simon, Hans Meuer and others from the....
Outside of the main attractions, including the keynote sessions, vendor showdowns, Think Tank panels, BoFs, and tutorial elements, the International Supercomputing Conference has balanced its five-day agenda with some striking panels, discussions and topic areas that are worthy of some attention....
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
Jun 13, 2013 |
Titan, the Cray XK7 at the Oak Ridge National Lab that debuted last fall as the fastest supercomputer in the world with 17.59 petaflops of sustained computing power, will rely on its previous LINPACK test for the upcoming edition of the Top 500 list.
Jun 12, 2013 |
At 31 petaflops of sustained LINPACK capacity, the new Chinese Tianhe-2 supercomputer will be the fastest supercomputer in the world when this month's Top 500 list comes out, as we reported previously in HPCwire.
Jun 12, 2013 |
HPC system makers are lining up to announce compatibility with the new fourth generation Intel Core processor, codenamed "Haswell." The new Iris GPUs based on the Haswell architecture are giving Intel new credibility in the graphics processing department.
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.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
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