Showing 3 open source projects for "knowledge"

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  • 1
    Karate

    Karate

    Test automation made simple

    Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. You don’t have to compile code. Just write tests in a simple, readable...
    Downloads: 3 This Week
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  • 2
    coarrays

    coarrays

    A free Fortran 2008, 2018 coarrays course with notes and exercises

    ...F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced Fortran users. Working knowledge of Fortran is assumed. The course is designed for a 1 day study with an instructor. Multiple exercises with full solutions are accompanied by notes. This course is taught to the University of Bristol HPC users. Exercises have been verified with Intel and GCC/OpenCoarrays. All course materials are released under BSD license. ...
    Downloads: 0 This Week
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  • 3

    ApproxAdderLib

    Library of Approximate Adders

    We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. These MATALB and Verilog models can allow software programmer as well as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan.
    Downloads: 0 This Week
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