Examples and reference materials for MATLAB GPU support via Parallel Computing Toolbox.
Parallel computing reduces time for analysis of electromechanical devices from 56 hours to under 2.
The post contains some helpful hints for parallel computing as well as hints for working with Jacket
Parallel computing can accelerate the solution of computationally expensive optimization problems
MIDACO is a global optimization software for mixed integer nonlinear programming (MINLP)
Code downloads , training materials and research papers from ETH Zurich
University of Illinois researchers explain how climate changes affect the ecosystem
Enabling you to select the programming paradigm to work well in a multicore system
Recent enhancements to MATLAB® and Image Processing Toolbox™ increase image processing speed
Assessing code performance, adopting efficient serial programming practices, generating C code, etc.
Custom engine calibration tool for extracting highest possible performance from AMG powertrains.
Tips and techniques to make your model run faster
Fulcrum Asset Management Develops Custom Quantitative Risk Management System
Using distributed arrays & PCT's SPMD construct to solve large linear algebra problems.
Compute a variety of derived market data from raw market data
Using parallel computing to accelerate the solution of computationally intensive problems
Run your algorithm on a GPU; solve a geometric problem with millions of lines in under a second.
Battery Pack Modeling on a Multicore Real-Time Target
Optimizing Vehicle Suspension Design