Search Results for "parallel-sudoku-solver" - Page 3
Sort By:
Showing 96 open source projects for "parallel-sudoku-solver"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
1
FolioReaderKit
A Swift ePub reader and parser framework for iOS
...TTS - Text to Speech Support, parse epub cover image, RTL Support. Vertical or/and Horizontal scrolling, share Custom Image Quotes NEW, supports multiple instances at same time, like parallel reading. -
2
pFUnit
Unit testing framework for Fortran with MPI extensions
pFUnit is now hosted and developed on GitHub. And will be completely removed from sourceforge on January 01, 2020 Please use: https://github.com/Goddard-Fortran-Ecosystem/pFUnit GitHub has been the primary host for some time now, but with the release of pFUnit 4.0 earlier in 2019, the sourceforge site is very out of date. -
3
A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
-
4
OpenHCPP
A Directive-Based Heterogeneous Parallel Programming Framework
OpenHCPP is a high-level directive-based parallel programming framework. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
5
Intel neon
Intel® Nervana™ reference deep learning framework
...The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores. -
6
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. -
7
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. -
8
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. -
9
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.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
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. -
11
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... -
12
This project is an extended implementation of Knuth's "Dancing Links" algorithm and some use cases (e.g. Sudoku).
-
13
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 -
14
Streams for IBM i
Batch performance boosting and Big Data framework for IBM i
Streamd for IBM i is a suite of tools for IBM i (previously known as AS/400 and iSeries) that can significantly improve performance characteristics of batch processes. Due to extensive use of parallel programming techniques Streams for IBM i delivers significant performance improvements for single streamed batch jobs. Streams for IBM i can split an existing batch process into a number of concurrent streams, completely eliminate backup-related delays, introduce new robust recovery policies and even modify the program logic of existing applications - all without any code modifications. ... -
15
LaunchMON is a software infrastructure that enables HPC run-time tools to co-locate tool daemons with a parallel job. Its API allows a tool to identify all the remote processes of a job and to scalably launch daemons into the relevant nodes.
-
16
Drid
Multi-Purpose Automation Grid
Console-based tool that will allow for multiple types of automation testing to run in parallel. Written in Python -
17
-
18
KISSmenu
KeepItSimple: organize&integrate your tools in a non-/interactive menu
Do you have dozens of tools with dozens of parameters? KISSmenu helps you to organize them, to integrate them and to run them interactively in a terminal based menu or automatically, e.g. starting it up as a cron job. Development or tooling environment: shortcut based menu of commands, which can be used both interactively and non-interactively. Middleware: simply integrates various software through environment variables. Really simple! A 500 lines long bash script easy to maintain,... -
19
MapReduce++ is a project for implementation of parallel algorithms. It has currently two C++ implementations of the MapReduce abstraction: the MapMP library (multiprocessors) and the MaPI framework (multicomputers).
-
20
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. Each microthread is conceptually similar to a task in Ada and it is much lighter weight than an operating system thread. SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons.
-
21
Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *... -
22
Tuple Spaces
Tuple space with time outs and transactions.
Java implementation of a Tuplespace. Moved to https://github.com/mike-k-houghton/tuplespace A Tuple is an ordered list of items. A Tuple Space is a form of associative memory where entries, tuples, are stored in the space and are retrieved using search criteria that are based on the intrinsic properties of the tuples. The two key operations are put get And that is it! There are refinements on these operations including, for example, timeouts where the tuple will only exist... -
23
Ash C++ Template Library (AshTL)
Hashing and spatial concurrency library.
AshTL aims to provide a complete framework for dealing with spatial data in an efficient, parallel manner. As such, we primarily provide container classes and data types relating to 2D and 3D coordinate grids. AshTL is currently in alpha development (some features may not work correctly, and interfaces are likely to change). While in alpha and beta development, AshTL is licensed under AGPL v3+. Stable releases will include an exception so that AshTL itself will always be AGPL, but will not force code that uses it to be. -
24
Project provides a set of concurrent building blocks (Java & C/C++) that can be used to develop parallel/multi-threaded applications. Components are grouped into 4 categories: 1.Data Structures 2. Parallel Patterns 3.Parallel functions 4.Atomics and STM
-
25
A framework for creating automatically-assembling trees of objects. Intended to parallel another interface as strictly a data I/O structure (e.g. file load/save in parallel with a GUI displaying it.) Adaptable to any hierachical data format.
