December 16, 2005
Fluent Inc., a provider of computational fluid dynamics (CFD) software and services, has announced that the recently released beta version of its flow simulation software, FLUENT 6.3, includes significant performance improvements on the Linux operating system, stemming from the adoption of Intel C++ Compiler 9.0 for Linux. Using the Intel C++ Compiler, FLUENT 6.3 beta has been compared to nine typical CFD examples and shows performance improvements ranging from a few percent up to as much as 50 percent. The compiler has been applied mainly to the Intel Xeon processor, but, it is also showing significant performance gains with the Intel Itanium processor. FLUENT is the most popular CFD software in the world, and is used extensively on the Linux OS.
"Fluent has moved to the Intel vompiler for our upcoming release because it provided the best performance and robustness of the many compilers that we tested,' notes Paul Bemis, VP Marketing at Fluent. "Many of our customers are using Linux-based systems and this FLUENT 6.3 performance gain will help reduce the turnaround time on CFD computations. Intel has worked closely with us in order to tune and improve our software's performance and we are very happy with the outcome of the collaboration."
"Intel understands that software development products are a critical part of the overall ecosystem required for high-performance computing," notes James Reinders, director of marketing and business for the Intel Software Products Division. "Fluent chose Intel C++ Compiler for Linux to help customers achieve optimal performance for supercomputing applications such as simulations, visualization and scientific analysis."
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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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).
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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...
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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.
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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.
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May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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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...
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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.