Search Results for "parallel programming frameworkc++" - Page 5

Task parallel library built on top of Grand Central Dispatch and Parallel Patterns. Includes task dependence management, grouping of items for data parallel or cache friendly processing, and other utilities for multi-core task based programming.

EasyPDP is an efficient parallel runtime system based on DAG Data Driven Model for dynamic programming. It aims at parallelizing dynamic programming algorithms on multi-core and multi-processor platforms.

The INCOMPARABLE (Independent Communicating Parallel Block Execution) programming language provides a natively parallel programming language based on CSP.

Communicating Sequential Processes: wrapper of various parallel programming technologies such as POSIX Threads/Signals/Sockets, QuickThreads, libnuma, TCMalloc, etc, providing a high level simple abstraction level for parallel programming.

Afluentes is a framework for parallel programming freely inspired by the graph reduction technique used by functional languages.

A modest extension to C, XMTC allows representing parallel (PRAM) algorithms as parallel programs, and run XMTC code using a compiler and cycle accurate simulator of the University of Maryland explicit multi-threaded (XMT) many-core architecture.

Carbon is a Carbon-to-C compiler. Carbon is ruby-like programming language that targets for mainstream parallel computing. We strive to provide a natural language, and a powerful compiler that generates performance centric C code.

Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.

GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.

Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.

Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru

Roomy is a programming language extension for writing parallel disk-based applications. All details of parallelism and disk I/O are hidden within the Roomy library.

Python bindings for OpenCL, the open standard for parallel programming of heterogeneous systems

EcoMap is an execution framework that supports efficient over-the-air interactions with a network of wireless sensor nodes through parallel execution.

Pypar is an efficient but easy-to-use module that allows programs written in Python to run in parallel on multiple processors and communicate using MPI. Pypar development has moved to http://code.google.com/p/pypar/

MORP (Module Orientated Robotic Programming) is a framework bringing base implementations in order to easily connect modules such as a NXT or Bioloid Robot. It provides its own scripting languages called 'morp' dedicated to robot programming.

This project is currently an experiment to offer a parallel programming environment that utilizes a set of networked computers to run user applications using remote pthread and object/memory management. 1st Phase is Linux and C/C++ environment only

因为微软在MSDN上关于Parallel Programming的样例代码还不完整，没有可以下载的示例，所以这个项目的目的是建立和完善DotNet4.0上的Parallel Programming样例代码。

Meerkat is a distributed programming environment. It consists of a virtual machine which is suited to parallel processing. The data model is based on the concept of actors, although it is much more permissive than the traditional description.

Cilk is a multicore programming language which gives the ability to write codes which can run parallel on multiple core thus comuting faster result. Our project involves porting of this application onto MAC and packaging it with Fink

Open BEAGLE is a C++ Evolutionary Computation (EC) framework. It provides an high-level software environment to do any kind of EC, with support for tree-based genetic programming; bit string, integer-valued vector, and real-valued vector genetic algorithms; and evolution strategy. The Open BEAGLE architecture follows strong principles of object oriented programming, where abstractions are represented by loosely coupled objects and where it is common and easy to reuse code. Open BEAGLE...

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

42 has six primary goals: foster extreme code reuse; run faster than C; compile to both software and hardware; run faster on reconfigurable computers; support parallel programming; and allow users to extend the language.

LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.

Parallel multithreaded programming language based on ANSI C. Easy to use, comes with a compiler and a runtime system.