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Red Hat Enterprise Linux on Microsoft Azure
Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use
* Provides high-level syntax and functionality deliberately similar to Matlab
* Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code
* Useful for algorithm development directly in C++, or quick conversion of research code into production environments
* Distributed under the permissive...
System Stability Tester is a multi platform open source clone of SuperPI and comes with a GUI and a CLI. It can be used for CPU and RAM burning, stressing and benchmarking.
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The RooFit package provides a toolkit for modeling the expected numerical distributions of the results of a scientific experiment. Models created with RooFit can be used for fitting,
visualization, and Monte Carlo studies.
Framework for blockstructured adaptive finite volume methods. Provides MPI-parallelized variant of the Berger-Oliger AMR algorithm for Beowulf-clusters. Uses Clawpack. Visualization and conversion tools for HDF4 files included.
The goal of Operation Project X is to crack the 2048-bit RSA private encryption key Microsoft uses to sign Xbox media, by using distributed computing. This key could be used by Xbox owners to run homebrew code on their machines.
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Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.