Search Results for "parallel-sudoku-solver" - Page 13
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Showing 595 open source projects for "parallel-sudoku-solver"
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IPS Framework
A simple Python framework for loosely-coupled multiphysics simulations
...In addition to plasma physics, it is also being used in the engineering of batteries. One of the novel features of the IPS framework is its ability to support parallelism at multiple levels: components can launch individual parallel tasks, and also launch multiple tasks concurrently. The framework can execute multiple components concurrently, and even multiple simulations, all within the same pool of compute nodes. -
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JennyNet
Java Network Layer for Server/Client Communication
Java Network Layer resting on TCP/IP is now developed by Wolfgang Keller, SF user "kse". This site is outdated and contains an old version of the software. I have given up developing this project and left all copyright to Wolfgang Keller. -
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JThread - a OO, Java like threading library for C++ ! System independent OO architecture for thread and synchronising classes - separates between operating system independent interfaces and dependent implementations.
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RxJavaSamples
Examples of some of the most common usages of RxJava 2 and Retrofit
Examples of some of the most common uses of RxJava 2 with Retrofit. For the interface that needs to request the token first, then use flatMap() to connect the token request and the actual data request coherently, without having to write a nested Callback structure. For non-disposable tokens (tokens that can be reused), after obtaining the token, save it for repeated use, and use retryWhen() to automatically re-acquire the token when it expires, making the process of token acquisition... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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abumpack
Fortran library with the Abaqus user material subroutines UMAT/VUMAT
This library contains several of user material subroutines for implicit quasi-static (UMAT) and explicit dynamic (VUMAT) versions of the Abaqus solver. The project web site: http://abumpack.sf.net. The Abaqus is a proprietary finite element (FE) code ( http://www.3ds.com/products-services/simulia/products/abaqus/). Users can write subroutines for use with the Abaqus. Linear elastic, isotropic hardening plasticity, Gurson-Tvergaard-Needleman (GTN), Rousselier constitutive models are provided. ... -
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CRUSH
Data reduction and imaging for select astronomical cameras
CRUSH is a pioneering reduction and imaging suite for many astronomical cameras operating at far-infrared, submillimeter and millimeter wavelengths, such as SHARC-2, SCUBA-2, LABOCA, GISMO, or SOFIA/HAWC+ (to name a few). -
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youtube-dlG
A cross platform front-end GUI of the popular youtube-dl
...You can change the naming pattern by picking a different filename format under the Options>General tab. You can also use a custom pattern by setting the option to "Custom" and editing the output template field. You can change the number of max parallel downloads by editing the "workers_number" option in your settings.json file. You can add extra youtube-dl command line options in the commands box under the Options>Extra tab. You can use your own version of youtube-dl by editing the "youtubedl_path" option in your settings.json file and make it point to your own binary (e.g. /usr/local/bin). -
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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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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only... -
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Swift AI
The Swift machine learning library
...Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the usage of Swift AI. Each resides in their own repository and can be built with little or no configuration. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI. ... -
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Catberry
Catberry is an isomorphic framework
...Search crawler receives a full page from the server. The whole state of the application is restored from URL. Server-side progressive rendering based on node.js streams and parallel rendering of components in a browser. The framework is well-tested (code coverage is about 90%) and it is already used in production. -
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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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Rocketeer
Send your projects up in the clouds
...While it is coded in PHP, it can deploy any project from small HTML/CSS websites to large Rails applications. Versatile, support for multiple connections, multiserver connections, multiple stages per server, etc. Fast, queue tasks and run them in parallel across all your servers and stages. Modulable, not only can you add custom tasks and components, every core part of Rocketeer can be hot swapped, extended, hacked to bits, etc. Preconfigured, tired of defining the same routines again and again ? Rocketeer is made for modern development and comes with smart defaults and built-in tasks such as installing your application's dependencies. -
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JavaMutex
Provides 100% pure Java mutual exclusion.
Freely redistributable open source 100% pure Java for mutual exclusion. Read-write and read-only reentrant lock, condition variable, atomic wraps for Boolean, Integer, Long, and Reference. Cell pool with optional locking, object exchanger, Intersect. -
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optpack
FE simulation based automatic global optimisation in modern Fortran
...The initial application is for FE simulation of elasto-plastic buckling of steel rods aimed at tuning the hardening model. Unix shell scripts are used extensively. High concurrency is achieved with parallel multi-start global search and with parallel MPI FE. Powell's BOBYQA or LINCOA are used (not included in this package). Automatic mesh generation of 3D cylinders is provided + automatic boundary conditions, all via Fortran and shell scripting. -
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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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Simple Simplex Solver is a tool function algorithms to solve equations in linear programming. its free to distribution, this tool may be useful for people. :-)
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The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. CNN processors were designed to perform image processing; specifically, the original application of CNN processors was to perform real-time ultra-high frame-rate (>10,000 frame/s) processing unachievable by digital processors. -
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Pop Framework
Use Java bean as model of web page, reference beans in hyperlinks
...Views and Models are therefore loosely coupled in Pop. A model can have multiple views for different devices and different locales. Each view and each model can be maintained and optimized independently and in parallel. -
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AutoGen is designed to generate text files containing repetitive text with varied substitutions. Its goal is to simplify the maintenance of programs that contain large amounts of repetitious text, especially when needed in parallel tables.
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The Rope Java Virtual Machine implements the Rope model which is a novel thread level speculative execution model called Rushing Object Parallel Environment. This is a research project aimed at exploiting parallelism in traditional object oriented programs.
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Icarus Scene Engine
3D .NET engine for Windows, Linux, Mac
Icarus Scene Engine is a cross-platform, CLS-compliant 3D framework, integrating open source APIs into a cohesive all-open-source, all .NET solution. For Windows, MacOSX & Linux. Uses OpenTK, OpenGL, OpenAL APIs for graphics and audio. Runs on Mono/.NET. Links to FFMpeg for streaming video, and FreeType as a temporary conversion mod to bring fonts into a native XML format. Binary builds of Icarus will be infrequent, roughly every 18 months or so, the GIT code updates regularly on a... -
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Genetic Programming Classifier is a distributed evolutionary data classification program. It uses the ensemble method implemented under a parallel co-evolutionary Genetic Programming technique.
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.
