Gridget > Parallel computing tools get new versions
[EEIOL] Looking beyond the desktop to larger computing resources, The MathWorks support for third-party schedulers, which now includes Microsoft HPC Server 2008, allows cluster administrators to integrate MathWorks parallel computing tools into existing distributed computing environments. Once the application is programmed, users can scale to larger resources, such as clusters and grids, without having to modify the code by relying on MATLAB Distributed Computing Server.
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[SiliconIndia.com] Mathworks introduces new versions of MATLAB parallel computing ...: "Users are looking to easily access the power of high performance computing resources, whether it be maximizing the multicore capabilities of their local desktops or using clusters and grids," said Silvina Grad-Freilich, manager of parallel computing and application deployment marketing at The MathWorks. "By increasing the number of cores supported by Parallel Computing Toolbox, these users can leverage the increased hardware capabilities without requiring significant programming."
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[desktop computers] CAD CAM News: The MathWorks Introduces New Versions of MATLAB ...: Looking beyond the desktop to larger computing resources, The MathWorks ratify at the end of ones tether with despite third-party schedulers, which at the moment includes Microsoft HPC Server 2008, allows corral administrators to fuse MathWorks .tools into existing distributed computing environments.
[HPCwire: Relevant HPC news stories from around the globe] HPCwire: The MathWorks Simplifies Development of Parallel ...: NATICK, Mass., May 12 -- The MathWorks today announced the integration of its Parallel Computing Toolbox with its widely used MATLAB optimization toolboxes to help further simplify the development of parallel applications. Parallel computing capabilities are now integrated inside the optimization solvers of MathWorks Optimization Toolbox and Genetic Algorithm and Direct Search Toolbox, enabling users to solve computationally-intensive optimization problems on multicore computers and computer clusters without significantly changing their existing programs.
[Scientific Computing World - News] Racing ahead - HPC IN F1 - Scientific Computing World: Ferrari makes extensive use of the Fluent CFD package from Ansys to carry out its aerodynamics computer simulations, and Pelle Olsson, HPC product marketing manager for Microsoft, illustrated how the server system can make it possible to run the program on clusters with no more effort than was needed for serial versions. By clicking a few options on the Fluent launch menu –
[Loren on the Art of MATLAB] parfor the Course | Loren on the Art of MATLAB: mexGetVariablePtr() to read Matlab memory locations as I’m not certain how the mex code knows to look for worker copies as opposed to the originally stored copy (and I’m not certain this should make a difference without debugging). I avoid using the mexPut…
[The MathWorks Newsletters] The MathWorks News & Notes - October 2006 - Controlling Electron ...: Delivering the particle beam to the interaction point while maintaining a small beam size requires very accurate alignment and tuning algorithms in a distributed feedback system. We use MATLAB and Simulink to design the control system, model the entire ILC, and simulate the way the particle beams travel through the accelerator and interact with tens of thousands of magnetic elements.
[MacResearch - Online Community and Resource for Mac OS X in Science] Matlab news from WWDC | MacResearch: MATLAB is a Unix executable that presents its interface using Java with an Aqua appearance by loading the Java JVM, but some products such as Simulink still require, and use X11-based interfaces. MATLAB, Simulink and 80+ derived Toolboxes and Blocksets are in aggregate significantly larger in code size and customer volume than the two symbolic math products you mentioned, and have a heavy dependency on open-source and commercial third party libraries, which turns porting away from flipping a switch and towards the logistics of flipping many, many swiches and integrating them.
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[2008 JavaOne Conference News] Last Chance: Prerequisites: Attendees should have an understanding of distributed programming and should be experienced programmers on the Java platform. Previous exposure to grid computing is a plus but not required.
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