Parallelization

Java Parallel Processing Framework is a set of tools and APIs to facilitate the parallelization of CPU intensive applications, and distribute their execution over a network of heterogenous nodes. Java Parallel Processing Framework is intended to run in clusters and grids.. An open-source,... Platforms: *nix

(p)IPHULA is a software that investigates parameters of population history based on a Monte Carlo simulation using the maximum likelihood framework. Further details on how to compile, install, run, and use this program can be found in the (p)IPHULA manual (PDF). Reference: The method is... Platforms: Mac

compmake is a non-obtrusive module that provides: * make*like facilities to your Python computations (make, clean, etc.), including caching of temporary results (that is, you can interrupt your program, and restart it without losing (much) data.) * A console for inspecting failures and partial... Platforms: *nix

yadp is a distributed application. You can for example, parallelize the processing of large data sets, or, run a task over several hosts. The focus is put both on the parallelization part and on the module which enable the development of the distributed code. The computation task is simplified by... Platforms: *nix

Parallel Bladeenc is a true parallel version of the Bladeenc MP3 encoder; it distributes work across CPUs to speed up MP3 encoding. It uses the Message Passing Interface (MPI) for parallelization across SMPs and/or multiple machines. Hence, if you have a 4-way SMP, you can encode your MP3s about... Platforms: *nix

Creates a virtual encrypted disk within a file and mounts it as a real disk. Supports Smartcards and Software Certificates. Features: - Creates a virtual encrypted disk within a file and mounts it as a real disk - Encryption is automatic, real-time (on-the-fly) and transparent -... Platforms: Windows, Other

Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution. Platforms: Windows, Mac, Linux

Estimating plant model parameters and tuning controllers are challenging tasks. Optimization-based methods help to systematically accelerate the tundlTCing process and let engineers tune multiple parameters at the same time. Further efficiencies can be gained by running the optimization in a... Platforms: Matlab

GFFT is generic simple and efficient Fast Fourier Transforms (FFT) implementation using policy-driven design and template metaprogramming. This new implementation of Fast Fourier transforms rose during study of the classical Cooley-Tukey algorithm and from an idea to assume the transform length... Platforms: *nix