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