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[EEIOL] Parallel computing tools get new versions: 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.

[desktop computers] CAD CAM News: The MathWorks Introduces New Versions of MATLAB ...: at the end of one’s tether with despite third-party schedulers, which at the moment includes Microsoft HPC Server 2008, allows corral administrators to fuse MathWorks even off computing tools into existing distributed computing environments.

[Altair News] Altair Corporate - Innovation Intelligence: The Distributing Computing Toolbox provides engineers and scientists with a high-productivity programming tool that simplifies the task of developing distributed and parallel applications and executes them on a cluster of computers, .The MathWorks is the world's leading developer of technical computing and Model-Based Design software for engineers and scientists in industry, government, and education.

[HPCwire: Recent articles featuring high productivity computing] HPCwire: The MathWorks Gets Serious About Distributed Computing: If developers are willing to make some minimal changes, they can employ MATLAB parallel constructs in their own application code to achieve additional parallelization. The parallel-for loop (parfor) can be used to execute a loop in parallel, while the new spmd (single program, multiple data) construct allows a developer to distribute data, such as large matrices or arrays, and their associated operations across a distributed system.

[Warez-Forever The House Of Sharing] Mathworks Matlab R2008b DVD - Warez-Forever The House Of Sharing: You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas.

[Medical Technology Business Europe] MTB Europe - Max Planck Institute of Biochemistry uses MathWorks ...: Max Planck Institute researchers turned to MathWorks tools to develop streamlined procedures for their data-intensive applications, including image acquisition, filtering, processing, and 3-D reconstruction. For techniques such as pattern matching and single-particle reconstruction that required computationally intensive algorithms, researchers used Parallel Computing Toolbox and MATLAB Distributed Computing Server to accelerate computation over a 64-node cluster.

[Amazon Web Services Blog] Amazon Web Services Blog: Parallel Computing With MATLAB On Amazon EC2: System administrators will learn the key technical details required for setting up MATLAB Distributed Computing Server on the EC2 service, including licensing and network setup. They will also learn how to configure their users’ desktops to enable the use of the EC2 service for MATLAB computations.

[CADwire.net - All CAD industry news] Max Planck Institute of Biochemistry Uses MathWorks Tools in its ...: “Reconstructing a 3-D volume typically takes days on a single CPU, but by using Parallel Computing Toolbox and MATLAB Distributed Computing Server from The MathWorks we were able to speed up our processing by 20 to 30 times,” said Andreas Korinek, scientist at the Max Planck Institute of Biochemistry. “Particularly helpful was the ability to use our cluster productively from the MATLAB environment without having to be experts in parallel programming or having to learn another programming language.

[APPZ Blog] Mathworks Matlab R2008b keygen carck key serial patch download ...: Mathworks Matlab R2008b MATLAB is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using MATLAB, you can solve technical computing .

[GLORIAD Classroom] Grid Computing Tools for Cancer Research « GLORIAD Classroom: OSC’s shared instrumentation and analytics project is a collaborative effort between leading research universities in Ohio and OSC to provide researchers with access to remote instruments, data and analytics capability they need to improve collaboration and speed discovery. The project’s collaborators are working to create tools that enable scientists and engineers in different organizations and locations to share multiple views of many science and engineering projects.

[EDA Blog] EDA News - 2007.11.12 ~ EDA Blog: MATLAB now includes support for multithreaded computation for multicore systems and 64-bit Solaris platforms. Distributing Computing Toolbox now offers capabilities for developing applications that interleave parallel and serial code and interactively prototyping parallel algorithms on a desktop computer by running four local MATLAB sessions.

[A-new Blog] Mathworks.Matlab.R2008b.DVD.ISO-TBE | A-new Blog: Ability to deploy Parallel Computing Toolbox applications using MATLAB Compiler that run with MATLAB Distributed Computing Server * New notebook interface in Symbolic Math Toolbox for managing and documenting symbolic computations, plus access to MuPAD symbolic .Modeling environment for building electronic and electromechanical systems as physical networks * More than 55 electronic and electromechanical components, including sensors, semiconductors, and actuators .

[Loren on the Art of MATLAB] parfor the Course | Loren on the Art of MATLAB: Your conjecture is correct: You could use MPI directly to take advantage of 8 cores on a single machine without using either the Toolbox or the Engine, but then you would have to write a lot of parallel C or Fortran code from scratch. If you want to use any of the higher level constructs such as parfor, distributed arrays, or labSend/labReceive, you need to use the Toolbox, optionally with the Engine.

[Coding Horror] Coding Horror: Should Competent Programmers be "Mathematically ...: I run a small (4 people) web dev shop and I'm finding that younger coders haven't had the pleasure of writing assembler or managing without library functions. I've always found strong math skills to be one of the most useful skills for coding, and when one has Google and a massive library of functions, one doesn't have to be good at math to get things working, until it either breaks, has edge cases, or brings out OS or library bugs.

[2008 JavaOne Conference News] Last Chance: The Compute Server execution framework, to support the efficient. • execution of Compute Server applications on the Sun Grid Compute.

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