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SparesPOP is a MATLAB implementation of a sparse semidefinite programming (SDP) relaxation method proposed for polynomial optimization problems (POPs). Please send a message to kojima-spop@is.titech.ac.jp if you have any question and/or request. We also release SparsePOPC++ and SparsePOPC++-windows. Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.

KL1p is a portable C++ framework for handling sparse recovery of inverse problems of underdetermined linear systems, like in compressed sensing technique.

OSlash is a c++ framework for developing decentralized cloud computing services. It includes a programming environment and virtual machine for assembling networks of processing nodes coordinate their operations through message passing.

The algorithm allows any kind of weights (costs, frequencies), including non-numerical ones. The {0, 1, ..., n-1} alphabet is used to encode message. Built tree is n-ary one.The algorithm is based on a set of template classes : Cell(SYMBOL, WEIGHT), Node(

In many parallel scientific applications the process of grid generation, decomposition, message passing, and performance measurements are of similar stucture. The projects intention is to develop a generic function library that will contain all these.