Search Results for "parallel programming frameworkc++"
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Showing 23 open source projects for "parallel programming frameworkc++"
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BMDFM
Binary Modular DataFlow Machine (BMDFM)
Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a... -
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Dev-C++ for Windows 10/8/7
A fast, portable, simple, and free C/C++ IDE
...Optimized for parallel compilation on modern multi-core machines. GitHub Project: https://github.com/Embarcadero/Dev-Cpp/ Sponsored by Embarcadero: https://www.embarcadero.com/free-tools/dev-cpp -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity multi-core. ... -
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OpenHCPP
A Directive-Based Heterogeneous Parallel Programming Framework
OpenHCPP is a high-level directive-based parallel programming framework. -
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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Chapel
a Productive Parallel Programming Language
Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub** -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. -
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Sisal is a unique parallel language that supports a clean, fully implicit parallelization model. The optimizing sisal compiler (sisalc) works on top of pthreads to give high performance on commodity SMP architectures.
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PARUS
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it. -
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prog89s52
Utility for programming an AT89S52 via a parallel port.
prog89S52 is a utility for Linux on the PC, allowing programming of Atmel's AT89S52 microcontroller via the parallel printer port. Atmel's 89S are programmable via an SPI port and therefore require absolutely no additional components in order to program them in-system. This program requires a standard "Centronics" type PC parallel port (a bidirectional, EPP or ECP port is not required). -
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Dantzig-Wolfe Solver
An implementation of Dantzig-Wolfe decomposition built upon GLPK
An implementation of Dantzig-Wolfe decomposition built upon the GNU Linear Programming Kit. This is a command line tool for solving properly decomposed linear programs. There are several examples and some documentation to guide the use of this solver. Forked over to GitHub (see link). -
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CDIV GAMES STUDIO
C/C++ Programing with ALLEGRO 4.2.2 - Win32/64 - LINUX - MACOSX
CDIV GAMES STUDIO is a programming environment for multimedia applications mostly games using the power of the C/C++ and the graphics library ALLEGRO two are combined in the library CDIV that provides a parallel processing system based on processes style DIV2. Each process is an independent, each running a separate code to other processes and can be assigned graphics, rotation angles, execution priority, etc ... -
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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.
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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.
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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
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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.
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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
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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.
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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.
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Parallel multithreaded programming language based on ANSI C. Easy to use, comes with a compiler and a runtime system.
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MapReduce is a simple and flexible parallel programming model initially proposed by Google for large scale data processing in a distributed computing environment. This project implements the MapReduce runtime and API for the Cell processor platform.
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linda is an simple library implementation of Linda parallel programming system (http://www.cs.yale.edu/Linda/linda.html). To write a parallel program with linda, you have to know only 6 functions: spawn, out, in, inp, rd and rdp with linda.
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