which execute most of the computation. The workers then send the results back to the client, which assembles those results. MATLAB workers evaluate iterations in no particular order and independently of each other. Because each iteration is independent, the iterations need not be synchronized, and...
The paper attempts to summarize author's investigation of parallel computation capability of MATLAB environment in solving large ordinary differential equations (ODEs). Two MATLAB versions were tested and two parallelization techniques: one used multiple processors-cores, the other - CUDA compatible ...
At this point, one may show that investing in an improvement of the optimization model can be by far more efficient than investing in computing resources. We suggest a refinement of the neighborhood computation. The function DNeighbor.m chooses at random one element in w and assigns a ...
Our computational experiment produced mixed results. Using threads did make the computation faster, but in our example, only the call tosvd()was actually parallelized. This is because threading support in MATLAB is implicit: the user does not determine which parts of the co...
MATLAB Parallel Computing 来自 ResearchGate 喜欢 0 阅读量: 31 作者: John Burkardt 摘要: In such a computation, very large arrays can be defined and manipulated. Each computer does not have a copy of the same array, but instead a distinct portion of the array. In this way, the user ...
I have developed a code in which I have used the parallel computing capabilities of Matlab. There is a parfor that helps me reducing computation time (I have many iterations). To share the app with some colleagues I have designed a simple GUI with the app designer and exported it as a ...
Scheduler Support in Parallel Computing Toolbox and MATLAB Parallel Server The scheduler interface provided by MathWorks parallel computing products is at the software level, providing engineers and scientists an interface to submit jobs to computation resources without having to be concerned with ...
ParallelComputingToolbox：并行计算工具箱 1
models, GT models and so on. The idea is that I put the script that runs in the co-simulation into the objective function. Unfortunately I have a very high computation time (up to 6h). Therefore, I would like to compute part of the generation in parallel (e.g. ten individuals at ...
Objective value computation — One simulation per iteration Objective gradient computations — Two simulations for every tuned parameter per iteration Line search computations — Multiple simulations per iteration The total time,Ttotal, taken per iteration to perform these simulations is given by the follo...