The department editors discuss the continuing importance of requirements, managing Web content, free public Wi-Fi, and a recent personal transition to Internet telephony.
The department editors discuss the continuing importance of requirements, managing Web content, free public Wi-Fi, and a recent personal transition to Internet telephony.
By modifying Groovy with Matlab-like constructs, the authors created a compiled mathematical scripting language called GroovySci for the jLab platform. The resulting code generation enhancements could ultimately exten...
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By modifying Groovy with Matlab-like constructs, the authors created a compiled mathematical scripting language called GroovySci for the jLab platform. The resulting code generation enhancements could ultimately extend Java's potential for scientific computing.
J is an open source programming language with a rich collection of well-designed primitives and a consistent, compact, mathematics-like syntax. It has amazing array facilities, superb numeric and data processing capab...
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J is an open source programming language with a rich collection of well-designed primitives and a consistent, compact, mathematics-like syntax. It has amazing array facilities, superb numeric and data processing capabilities, and graceful features al...
GPULib helps scientists and engineers take advantage of GPUs from within high-level programming environments without requiring any detailed knowledge of the GPU architecture.
GPULib helps scientists and engineers take advantage of GPUs from within high-level programming environments without requiring any detailed knowledge of the GPU architecture.
The Automated Testing System (ATS) is an open source, Python-based tool for automating the testing of applications, especially scientific simulations. It's especially designed to support the work of a team of subj...
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The Automated Testing System (ATS) is an open source, Python-based tool for automating the testing of applications, especially scientific simulations. It's especially designed to support the work of a team of subject-matter experts.
Here, Matthew Turk considers the tradeoffs and drawbacks between providing a full stack, versus components, when vertically integrating developments into scientific software.
Here, Matthew Turk considers the tradeoffs and drawbacks between providing a full stack, versus components, when vertically integrating developments into scientific software.
Yes Jack, like Patton in France, I've broken out (of the scientific programming department) and am rolling like a juggernaut. This column will now come to you each issue and will be somewhat more wide-ranging than...
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Yes Jack, like Patton in France, I've broken out (of the scientific programming department) and am rolling like a juggernaut. This column will now come to you each issue and will be somewhat more wide-ranging than before. Meanwhile, this gives George Thiruvathukal and Konstantin Laufer more chances to express themselves, too, in their own sidebars. I hope you enjoy the column and continue to point me at new ideas that you think your fellow readers should learn about.
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