Search Results for "parallel programming frameworkc++" - Page 3
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Showing 110 open source projects for "parallel programming frameworkc++"
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical... -
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Avian Parallel Computing
Develop parallel programs. Try various thread configs. GUI front-end.
...) that simplifies parallel programming by providing a GUI frontend to setup, start, and monitor each bird (thread) in the program. ConcX allows you to start or stop one bird (thread) or the whole flock. The birds in the flock are loosely coupled & cooperate to accomplish your goal. ConcX offers many built-in info resources, such as by-thread logging, real-time display of individual thread activity, post mortem diagnostic information, saving of flock setups, parallel database access and more. -
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Extended Memory Semantics (EMS)
Persistent shared object memory and parallelism for Node.js and Python
EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using... -
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known... -
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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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CUDA-MEME
Ultrafast scalable motif discovery algorithm using GPU computing
mCUDA-MEME is a well-established ultrafast scalable motif discovery algorithm based on MEME (version 4.4.0) algorithm for multiple GPUs using a hybrid combination of CUDA, MPI and OpenMP parallel programming models. This algorithm is a further extension of CUDA-MEME (based on MEME version 3.5.4) with respect to accuracy and speed and has been tested on a GPU cluster with eight compute nodes and two Fermi-based Tesla S2050 (and Tesla-based Tesla S1070) quad-GPU computing systems, running... -
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Xn
A parallel, nodal language protocol
Xn project tries to develop a three-in-one 'language'. Xn is capable of almost all kinds of data storage, communication, even executable scripts. Applicable cases are therefore very general. Take a larger imaginable one as example, an AI-network (even alive) can't be far away. But all the important thing is that Xn is itself simple. Most usecases, not so ambitious, various average programming tasks or tools can use Xn to shorten their development time. 蘄天元計劃(Xn project, 取此中文名另含圍棋天元佈局+未知... -
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ProgramNet Designer
C++ cross plattform functional block programming
With the help of the ProgramNet the user can develop plug-ins(called units) which can be connected with other units forming a net. The net has a form of a flow diagram. The resulted net can be executed in the ProgramNet for testing purposes or independently in the target platform as a final release. In order to execute a net the ProgramNet uses the kernel. The kernel executes automatically each unit in a separate thread and manages the data exchange between the units. -
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GMaVis: A DSL for Geo-Visualization
It is a domain-specific language for large data geo-visualizations
GMaVis is an external domain-specific language (DSL) that facilitates the creation of visualization of geospatial information by using multi-core architectures to process data in parallel. Its compiler abstracts complexities from the whole visualization creation process, even in the data pre-processing phase. Also, it allows domain users with low-level knowledge in computer programming to create these visualizations through a high-level description language. These users can easily do... -
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Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). 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... -
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JPOP is a pure java parallel optimization package based on the Optimization Java Package. It supports analytical gradients and Hessians for non-linear optimization. JPOP is based on uncmin in Fortran but employs java arrays and object oriented code.
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AVR HV Programmer
High voltage parallel programmer for AVR microcontrollers.
AVR-HV is high voltage parallel programmer for Atmel AVR series microcontrollers. AVR-HV allows programming, reading, verifying and configuring AVR microcontrollers with its high voltage programming interface and it connected with PC using USB interface. -
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HpcTemplateLib
HPC Template Library to supplement the STL
This package is intended to provide the user with threadsafe containers and classes for applications in High Performance Computing (HPC) where parallel programming is commonplace. Today’s multi-core computers bring that parallelism into the realm of everyday use. It is important to provide thread safe containers and classes in this environment. The HPC Template Library (HTL) aims to replace certain portions of the STL. It is a merger and rewrite of classes from the STL, QT, Boost... -
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ALOO
Concurrent OOP with Agents
ALOO is an experimental general-purpose programming language integrating objects and agents as first-class abstractions for building concurrent (asynchronous, reactive, parallel, etc) programs. -
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STMX
High-performance transactional memory for Common Lisp
STMX is a high-performance Common Lisp library for composable Transactional Memory (TM), a concurrency control mechanism aimed at making concurrent programming easier to write and understand. Instead of traditional lock-based programming, one programs with atomic memory transactions: if a memory transaction returns normally it gets committed, if instead it signals an error (Lisp slang for throwing an exception) it is rolled back. Memory transactions can safely run in parallel in different... -
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Genetic Programming in OpenCL is a parallel implementation of genetic programming targeted at heterogeneous devices, such as CPU and GPU. It is written in OpenCL, an open standard for portable parallel programming across many computing platforms.
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Scenario
Simple, neat and powerful tool for loading and managing JS scripts
Scenario is a very simple yet neat and powerful tool for loading and managing JS scripts. Scenario is very useful for the following cases: 1. Unit testing for JS without reloading the web page and re-engineering your code. 2. Load and manage scripts stored in arrays (code management). 3. Optimize coding flow by dynamically switching among best solution per case. 4. Run scenarios either distinctly or in parallel. 5. Keep easier track of bugs and errors when deploying. So, Scenario... -
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Mpbenchmark is an application benchmark for evaluating the efficiency of multiprocessor support for parallel processing. Mpbenchmark is a revised version of JetBench (https://sourceforge.net/projects/jetbench/). Mpbenchmark is implemented in several different programming languages, including Ada, C with OpenMp, Java 8 using the Thread class, Java 8 using Thread Pools, Java with Jomp, Jamaica RTSJ with Real-time Threads (compiled) and C#. The input data of mpbenchmark...
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giServer
giServer the easy to use and extensible batch and integration server
The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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niGA
Heterogenous Multiprocessor Scheduling Using Genetic Algorithms
Implementation of task scheduling using Genetics algorithm for heterogeneous parallel programming -
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gpgmpi
An GPGMP in C++/OpenCL with improved time step algorithm
The need for speed is always a challenge for large-scale stochastic simulation. This software is based on a parallel stochastic simulation algorithm already implemented on Graphics Processing Unit (GPU) for inhomogeneous reaction-drift-diffusion systems. We suggest an improved choice of time step which turns out to be almost 3 or even more times fast with nearly identical accuracy. The software is now completely implemented in C++ and OpenCL which only depends on boost library and GPU vendor’s... -
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grn_inference_multigpu
This project is a exhaustive search algoritm for multiple GPUs
... complexity is unfeasible in almost all situations. The objective of this work is the development of a low cost parallel solution based on GPU architectures for exhaustive search with a viable cost-benefit. We use CUDA , a general purpose parallel programming platform that allows the usage of NVIDIA GPUs to solve complex problems in an efficient way. -
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PCramer
Dense linear solver utilizing Cramer's rule in parallel
This code provides a linear solver based on a parallel application of Cramer's rule. The programming was done in 'C' leveraging the MPI-CH2 libraries for message passing between nodes. This implementation is for dense linear systems and all calculations are done with doubles. -
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PGraph
Visual Programming Tool for Parallel Computations
PGraph is a free and cross-platform tool for parallel computation that provides you to construct parallel algorithms in easy visual way and generate source code automatically. PGraph is based on C language and flow chart. We call this combination as Visual-Symbolic Programming Language. Now it is able to generate source code in C/C++ for MPI standart. -
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QuickThread
Parallel Programming Toolkit for C++ on Linux/Windows
Template library for C++ and threading scheduler. Common templates: parallel_allocator, parallel_distribute, parallel_for, parallel_for_each, parallel_invoke, parallel_list, parallel_manifold NUMA aware.
