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* 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 Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code

...The end result will be at least three sets of code, for the Alpha, Beta and Gamma versions of Rodney. We would also like to experiment with a "Delta" version which could use either bare RF or WiFi to exchange state data between machines. A "hive mind" if you like. For the new-generation version, we propose targeting two hardware platforms: 1. Arduino, since it's cheap and easy to use, while remaining close to the bare metal 2. A purpose-built AVR card, or easily ported to cards obtainable from sources such as futurlec.com, etc. ...

OW.NET -- 1-Wire API port from Java (and J#) to C#. Use the Dallas 1-Wire and iButton chips with standard C# using a serial adapter (also CF.net) or the TMEX drivers on the Windows platform. No J# distribution installation required.

Multicore SWARM (Software and Algorithms for Running on Multicore Processors) is an open source library for developing efficient and portable implementations that make use of multi-core processors. David A. Bader (Georgia Tech) began SWARM in 1994.