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HPX

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  Analyzed 1 day ago

HPX is a general purpose parallel C++ runtime system for parallel and distributed applications of any scale. It is a very modular and well designed runtime system architecture. Real world applications are used to drive the development of HPX, coining out required functionalities and converging onto ... [More] an stable API which provides a smooth migration path for developers. The API exposed by HPX is modelled after the interfaces defined by the C++11/14 ISO standard and adheres to the programming guidelines used by the Boost collection of C++ libraries. [Less]

554K lines of code

37 current contributors

4 days since last commit

8 users on Open Hub

High Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: Boost_Sof...
Tags c++ cplusplus cross-platform distributed distributed_computing distributedcomputing library parallel parallelalgorithm parallelcalculaion parallelcomputing paralleldistributedprocessing 9 more...

Charm++

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  No analysis available

A portable adaptive runtime system for parallel applications. Application developers create an object-based decomposition of the problem of interest, and the runtime system manages issues of communication, mapping, load balancing, fault tolerance, and more. Sequential code implementing the ... [More] methods of these parallel objects is written in C++. Calls to libraries in C++, C, and Fortran are common and straightforward. Charm++ is portable across individual workstations, clusters, accelerators (Cell SPEs, GPUs), and supercomputers such as those sold by IBM (Blue Gene, POWER) and Cray (XT3/4/5/6 and XE6). Applications based on Charm++ are used on at least 5 of the 20 most powerful computers in the world. [Less]

0 lines of code

18 current contributors

0 since last commit

4 users on Open Hub

Activity Not Available
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Mostly written in language not available
Licenses: illinois-...
Tags bluegene bluegenel bluegenep bluegeneq c c++ cplusplus cray cray-xt cross-platform library parallel 26 more...

The sequencer

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  Analyzed about 5 hours ago

The sequencer is an engine used by system administrators for the computation and execution of sequences of actions over hardware or software (for example powering on/off a whole cluster or a data-center). The sequencer is very efficient still handling failures nicely. The sequencer is ... [More] particularly useful for the creation of Emergency Power Off (EPO) commands. [Less]

9K lines of code

0 current contributors

about 7 years since last commit

2 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Python
Licenses: gpl3_or_l...
Tags admin administration administrator admintools datacenter launcher launcherprogram parallelization powersystem python system system_administration 7 more...

Parallel executor

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  Analyzed about 22 hours ago

PAEXEC distributes performing the given tasks across several CPUs or machines in a network.

5.98K lines of code

1 current contributors

almost 3 years since last commit

1 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in shell script
Licenses: mit
Tags distributed distributed_computing distributedcomputing parallel parallelcomputing paralleldistributedprocessing parallelism parallelization parallelizing parallelprocesses parallelprocessing

InitNG

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  Analyzed about 2 hours ago

Initng is a full replacement of the old and in many ways deprecated sysvinit tool. It is designed to significantly increase the booting speed of a unix-like operating system by starting processes asynchronously.

38.5K lines of code

0 current contributors

over 6 years since last commit

1 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C
Licenses: gpl3_or_l...
Tags c cross-platform daemon fast free_software gnu gnu_linux gpl init initscripts innovative linux 4 more...

luispedro's jug

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  Analyzed 1 day ago

Parallel programming with Python

7.06K lines of code

1 current contributors

about 1 month since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Mostly written in Python
Licenses: No declared licenses
Tags parallelization

multiexec

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  Analyzed 1 day ago

Simple program that executes commands in parallel

606 lines of code

0 current contributors

almost 12 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in C
Licenses: No declared licenses
Tags parallel parallelization

Evolutionary computation framework

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  No analysis available

ECF is a C++ framework intended for application of any type of evolutionary computation. Current features include: * parameterless: genotype (individual structure) is the only mandatory parameter * genetic algorithm genotypes (bitstring, binary encoded real values, floating point vectors ... [More] , permutation vectors), genetic programming genotype (tree) * individuals may contain any genotypes in any number * algorithms: steady state tournament, generational roulette-wheel, elimination, particle swarm optimization (PSO), differential evolution (DE), artificial bee colony (ABC), clonal selection (CLONALG), genetic annealing, random search * parallel execution in many models (global paralel EA, distributed EA, hybrid parallel EA...) using MPI [Less]

0 lines of code

1 current contributors

0 since last commit

0 users on Open Hub

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Mostly written in language not available
Licenses: mit
Tags c++ combinatorial_optimization evolutionary-algorithms evolutionary-computation framework genetic-algorithm genetic-programming parallelalgorithm paralleldistributedprocessing parallelization particle-swarm-optimization portable

octopus-framework

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  Analyzed 1 day ago

Octopus is a parallel, distributed 3D framework for crafting scientific simulations that use adaptive mesh refinment (AMR) methods. The primary application focus is Eulerian astrophysics codes. Octopus uses the HPX C++11 runtime system and an octree-based AMR algorithm. The code is based off of work ... [More] originally done by Dominic Marcello. Octopus is developed at Louisiana State University through the joint effort of the STE||AR group at the Center for Computation and Technology and the Department of Physics. The primary developers are Bryce Adelstein-Lelbach and Zach Byerly. This work is supported by the National Science Foundation through award 1240655 (STAR). [Less]

18.2K lines of code

0 current contributors

about 10 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in C++
Licenses: boost
Tags astrophysics boost c++ c++0x c++11 distributed distributedcomputing euler_equations eulerian hydrodynamics parallel parallelalgorithm 2 more...

CNTK

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  Analyzed 1 day ago

CNTK (Computational Network Toolkit) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix ... [More] operations upon their inputs. CNTK allows to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. [Less]

327K lines of code

26 current contributors

over 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: No declared licenses
Tags automatic_differentiation cnn convolutional_networks deep_learning deeplearning distributed_computing dnn error_backpropagation feedforward GPU GPU_cluster lstm 7 more...