For instance, Parallel and Distributed Computing for Data Mining is a book that delves into the fundamentals and applications of these topics, with examples and case studies from different domains.

Learn how to compare parallel and distributed computing based on problem characteristics, resource constraints, and performance goals. Find out which approach is best for your situation.

The MathWorks has integrated its Parallel Computing Toolbox with its MATLAB optimisation toolboxes to help simplify the development of parallel applications.. Parallel computing capabilities are now ...

The "matlab_mym_parallel" provides a simple workaround for parallel computing where the synchronization is done through a MySQL database which implements a distributed scheduler. Multiple MATLAB ...

This study describes the performance results on testing MatLab applications using the parallel computing and the distributed computing toolboxes under different platforms with different hardware and ...

The Swedish National Infrastructure for Computing (SNIC) has selected MathWorks’ MATLAB and the MATLAB Distributed Computing Service to grant researchers at Swedish universities access to national ...

Now more engineers and scientists can take advantage of Nvidia's Cuda-enabled GPUs, including the latest Tesla 20-series GPUs, based on the Fermi architecture, all from within Matlab. Parallel ...

Distributed computing with MATLAB speeds development of International . 20 March 2006. The Distributed Computing Toolbox from The MathWorks has been used to speed the development of the International ...