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Projects on Google Code Results 1 - 10 of 214
MADNESS provides a high-level environment for the solution of integral and differential equations in many dimensions using adaptive, fast methods with guaranteed precision based on multi-resolution analysis and novel separated representations. There are three main components to MADNESS. At the lowe...
=Nomenclature= Dragon loosely stands for "[http://en.wikipedia.org/wiki/DMRG Density RenormalizAtion GrOup] algorithm" and the /P comes from the name of [http://en.wikipedia.org/wiki/Blue_Gene BlueGene/P] but the P could just as easily stand for parallel. =History= This is a work in progres...
=What is Parallel++= Parallel++ is an Open Source library written in C++ for performing large matrix/vector calculations optimized for multicore x86_64 CPUs under Linux OS. It uses Intel intrinsincs/GCC builtins and OpenMP to achieve scalable performance. =Goals= Faster, smaller, easy-to-use a...
Many programming languages are currently being built, or modified, to exposed thread level parallelism. The aim of [[Tisk]] is not to focus on creating or modifying an existing language, but to address the problem from an [[Intermediate Language]] standpoint. This would allow a level of abstraction ...
In this project we will build a library of algorithms and data structures and provide a language to build programs on top of the library. The library will be optimized per architecture. This will allow the programs written in terms of the library to be intact while benefiting from the speed ups ...
=Parallel Algorithm Simulator written in .NET= The simulator will be able to compile and run a custom algorithm written in the provided psimulex language. While running the framework can be used as a debugger to visually watch and edit the variables or data collections defined in the program. ...
Parallel implementation of multiple meta heuristic algorithm (SA,GA,ACO,...)using message passing interface
This project hopes to create an easy to use GUI for creating and distributing parallel applications. Furthermore, the project aims to utilize AWS to dynamically scale clusters.
Parallel program performance enhancement system (PPPES) provides opportunity to gather detailed information about work of parallel algorithms, making it possible to visually analyze them in process.
implementation using Intel's TBB
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