Search Results for "parallel programming frameworkc++" - Page 3
Sort By:
Showing 96 open source projects for "parallel programming frameworkc++"
View related business solutions-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
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... -
2
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. -
3
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... -
4
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... -
Turn Your Content into Interactive Magic - For FreeTransform anything you share into an engaging digital experience - for free. Instantly convert your PDFs, slides, and files into dynamic, interactive sessions with built-in collaboration tools, activities, and real-time assessment. From teaching to training to team building, make every presentation unforgettable. Used by millions for education, business, and professional development.
-
5
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.
-
6
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... -
7
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. -
8
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... -
9
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.
-
Test your software product anywhere in the worldGlobal App Testing is a managed pool of freelancers used by Google, Meta, Microsoft, and other world-beating software companies.
-
10
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... -
11
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...
-
12
niGA
Heterogenous Multiprocessor Scheduling Using Genetic Algorithms
Implementation of task scheduling using Genetics algorithm for heterogeneous parallel programming -
13
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... -
14
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. -
15
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. -
16
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. -
17
Workflow Execution Engine
High performance workflow with strong support for parallel tasks
The Workflow Execution Engine (WEE) is a domain specific language created by the University of Vienna in Austria. The primary goals of the language are to provide a simple, lightweight, and powerful alternative to existing workflow specifications. This project contains an implementation of this language using the Erlang programming language. Please see the project Wiki for more detailed information. -
18
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 ... In addition CDIV own libraries can be used any of the functions of C/C++ and any... -
19
SDL Tutorials
Files for Parallel Realities' SDL Tutorials
A collection of tutorials for game programming in SDL. The tutorials range from opening a window to a simple shooting game to a simple platform game. -
20
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.
-
21
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.
-
22
Afluentes is a framework for parallel programming freely inspired by the graph reduction technique used by functional languages.
-
23
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.
-
24
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.
-
25
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.
