Computational Performance with evalhf and Compile: A Newton Fractal Case Study - Maple Application Center
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Computational Performance with evalhf and Compile: A Newton Fractal Case Study

Author
: Maplesoft AuthorDave Linder
Engineering software solutions from Maplesoft
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This Tips and Techniques article focuses on the relative performance of Maple's various modes for floating-point computations. The example used here is the computation of a particular Newton fractal, which is easily parallelizable. We compute an image representation for this fractal under several computational modes, using both serial and multithreaded computation schemes.

This article is a follow up to a previous Tips and Techniques, evalhf, Compile, hfloat and all that, which discusses functionality differences amongst Maple's the different floating-point computation modes available in Maple.

Application Details

Publish Date: September 26, 2014
Created In: Maple 18
Language: English

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