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Article Published
Use a layered approach to break the parameter estimation problem into a subset of data and parameter values so that the optimizer can focus on a specific problem.
2013년4월
MATLAB supports CUDA kernel development by providing a language and development environment for quickly evaluating kernels, analyzing and visualizing kernel results, and writing test harnesses to validate kernel results.
2013년4월
Topics covered include assessing code performance, adopting efficient serial programming practices, working with System objects, performing parallel computing, and generating C code.
2013년3월
Cleve Moler presents MATLAB code for simulating basic strategy, and explains why simulating blackjack play in MATLAB is both an instructive programming exercise and a useful parallel computing benchmark.
2012년10월
Tips and techniques to make your model run faster.
2012년6월
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
2012년4월
Run your MATLAB code on a GPU by making a few simple changes to the code.
2011년9월
Mercedes engineers use a custom calibration tool to extract the highest possible performance from AMG powertrains.
2010년10월
This article describes how to solve large linear algebra problems by spreading them across multiple machines using distributed arrays and the single program multiple data (SPMD) language construct, available in Parallel Computing Toolbox.
2010년9월
We performed coupled electro-mechanical finite element analysis of an electro-statically actuated micro-electro-mechanical (MEMS) device.
2010년7월
University of Illinois researchers use advanced statistical methods to explain how changes in climate affect the ecosystem and how human changes to landscape affect the regional climate.
2010년2월
This article provides brief profiles of 7 customers who use parallel computing to solve computationally intensive problems: Max Planck Institute, EIM Group, Argonne National Laboratory, C-COR, MIT, Univ of London, Univ of Geneva.
2009년11월
Using an aerospace system model as an example, this article describes the parallelization of a controller parameter tuning task using Parallel Computing Toolbox and Simulink Design Optimization.
2009년5월
This article describes two ways to use parallel computing to accelerate the solution of computationally expensive optimization problems.
2009년3월
Using a typical numerical computing problem as an example, this article describes how to threads and parallel for loops to get code to work well in a multicore system.
2008년9월
This paper uses a hydromechanical actuator as an example to illustrate techniques for modeling, optimizing, and testing plant models in MATLAB® and Simulink®. High-performance computing clusters are used to speed up Monte Carlo techniques.
2008년8월
Short Description/Meta Description (250 character limit): This paper studies techniques that can be used to reduce the time needed to run block diagram simulations, including automatic code generation and cluster computing.
2007년11월
The proliferation of multicore systems and clusters sets the stage for parallel computing with MATLAB.
2007년6월
Accelerator physicists at the University of London use multiple simulations and high-throughput computing to test beam-alignment algorithms.
2006년10월
This article describes a land-cover aggregation and mosaic process implemented with MATLAB distributed computing tools.
2006년1월

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