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The new curated datasets include greatly enhanced financial, astronomical, meteorological, genomic, and chemical databases along with the integration of the Geodesy and GIS packages. Version 7.0 comes with literally hundreds of new and enhanced features, many of them building on the radical changes that appeared in version 6.0. Like other parts of Mathematica 7.0, the visualization and graphics system has been re-architected to support the inevitable extensions and enhancements that will be available in future versions.Īlso, synthesized speech support has been added to the program’s sonorization capabilities-there’s something sort of HAL-esque about having your machine tell you your results via voice synthesis, but there are certainly applications out there beyond that. New charting and graphics tools abound-many are mainly eye candy, though the significant additions of vector and field plots, new discrete data plotting, and more geometric primitives provide a collection of new tools for new forms of data visualization. There have been significant additions in the visualization category as well. Finally, as introduced in version 6.0, many of the low-level internal libraries that support the Mathematica language are also optimized to take advantage of multicore machines. Self-contained job-style calculations can be submitted to a parallel batch system at the programming level, there are Parallel versions of basic iterative commands like Map, Table, and friends. This allows concurrent computations to take place across multiple machines as well as multiple processor cores.įor those who have never used the old Parallel Computing Toolkit, the learning curve is reasonably straightforward. Finally, for users who wish to extend their parallel computations to take advantage of multiple-machine clusters, Wolfram still offers its gridMathematica package. If you need more processes, a four-kernel add-on is available at an additional price.
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For example, with an eight-core Mac Pro, using six processes works efficiently while leaving two processors free to keep the machine running smoothly.
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The default license comes with two control kernel processes and four sub-processes. This means that, when you’re running Mathematica on a multiprocessor machine, you can easily take advantage of the available processors to perform multiple parts of a computation simultaneously. Version 7.0 features the integration of the basic multiprocessor tools from the old Parallel Computing Toolkit.
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Parallel computingĪ second highlight of this upgrade is the addition of built-in parallelism. If you’re interested in more detail on this feature, there’s a wonderful description of Mathematica’s image processing powers available on the Wolfram Web site.
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Here, a simple code snippet stylizes an image into a Chuck Close-like painting. Mathematica’s new integrated image processing features allow you to do computations directly on images. There’s no need to import or convert image data-you can simply cut and paste or drag and drop images into commands and equations and operate on them directly. Mathematica 7.0 allows manipulations and computations on images as simply as with numerical input. Longtime Mathematica users will remember that image input and output have been available since very early versions, via the Import function, but in this version images have been promoted to first-class citizens. The image processing additions are quite exciting, because they allow images to be used directly as data.