Search Results for "multi-threaded"

A C++ library of linear algebra, signal processing and communication systems routines. This library is stand alone and it does not depend on any third party libraries indeed a C++17 compiler equipped with the standard library is necessary and sufficient. The project has been moved to https://github.com/libsusa/susa

ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX...

Political economy library is a set of classes and accompanied tools for simulation of economy based on employment by companies, production of goods and consumption - EPC model. Actually it includes market-based model for research of the effects of Tobin tax. The library is based on Zarja library.

...Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in a network as you want. With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. ...

Boundary Shift Integral

Parallel Content-Based matching algorithm running on multi-core CPUs and on CUDA GPUs. It includes a translator from the SIENA publish/subscribe system events and subscriptions and a large number of workloads to test its performance.

DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms. It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...