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http://www.pcmag.com/article2/0,2817,2353608,00.asp Nvidia launched its second-generation GPU computing architecture on Wednesday, code-named “Fermi”. Oak Ridge National Laboratory will design a supercomputer based on the Fermi, an executive said. The “Fermi” announcement kicked off Nvidia’s GPU Technology Conference, which will run the remainder of this week in Silicon Valley. Fermi will serve as next generation of CUDA, a programming architecture [...] http://www.ddj.com/hpc-high-performance-computing/220300282 NVIDIA has released a public beta of the PGI CUDA-enabled Fortran compiler. Developed in collaboration with The Portland Group , it is the first Fortran compiler compatible with NVIDIA CUDA-enabled graphics processing units (GPUs). For more information on CUDA, see the article series CUDA, Supercomputing for the Masses.
GPU computing with the CUDA C-compiler has gained [...] CUDA.NET, jCUDA http://www.hoopoe-cloud.com/Solutions/CUDA.NET/Default.aspx http://www.hoopoe-cloud.com/Solutions/jCUDA/Default.aspx Interesting work. Keep it here as a reference: http://code.google.com/p/thrust/ Thrust is a CUDA library of parallel algorithms with an interface resembling the C++ Standard Template Library (STL). Thrust provides a flexible high-level interface for GPU programming that greatly enhances developer productivity. Develop high-performance applications rapidly with Thrust! This is a great news for CUDA and CFD. See the below news: //******************************************************************* http://forums.nvidia.com/index.php?showtopic=107374 After a long summer of hacking, I’m happy to announce the release of OpenCurrent, an open source library of CUDA-accelerated PDE solvers over regular grids. It includes a second order accurate solver for buoyancy-driven incompressible flows, as well as building blocks from which [...] http://www.elnexus.com/products.aspx?line_id=15466&ad=google&gclid=CIS83Jy-lJ0CFRESawod8Qvp_Q&showpnl=spec Seems to be a better choice than Dell. http://www.prnewswire.com/news-releases/nvidia-collaborates-with-microsoft-on-high-performance-gpu-computing-62321757.html Users Harness the Power of NVIDIA Tesla GPUs for Enterprise Computing on Windows HPC Server 2008 “The coupling of GPUs and CPUs illustrates the enormous power and opportunity of multicore co-processing,” said Dan Reed, corporate vice president of Extreme Computing at Microsoft. “NVIDIA’s work with Microsoft and the Windows HPC Server platform, is helping enable scientists [...] I wish I can attend it but I don’t have time: http://www.nvidia.com/object/gpu_technology_conference.html Live webcast for keynote speeches: http://www.nvidia.com/object/gpu_technology_conference.html#livewebcast From Redeye On Demand:
Do you want to make a great first impression but are unsure which technology to choose? Read about the advantages and disadvantages of the most popular technologies below. For detailed information on cost, material properties, turn time and accuracy; see the comparison chart at the bottom. 1. Virtual Prototyping http://www.wallstreetandtech.com/advancedtrading/showArticle.jhtml?articleID=220200055 Bloomberg Uses GPUs to Speed Up Bond Pricing Two-factor model for calculating hard-to-price asset-backed securities now runs on graphics processing units paired with Linux servers.
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