Search Results for "parallel-sudoku-solver" - Page 15
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Showing 595 open source projects for "parallel-sudoku-solver"
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CUSHAW2: Parallel Gapped Read Alignment
One of the leading short-/long-read aligner to large genomes
...Furthermore, our aligner shows good parallel scalability with respect to the number of CPU threads. -
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Intermediate Language Distributed Just-In-Time (ILDJIT) is a unified compilation framework for CIL bytecode. It is a parallel and easily extensible framework thanks to its internal structure composed by plugins.
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DisChoco
DisChoco: Distributed Constraint Reasoning Solver
DisChoco is a Distributed Constraint Reasoning Solver. Several Distributed Constraint Reasoning algorithms are implemented (like ABT, AFC, Adopt, ...). Users may easily implement and test their algorithms with DisChoco. contact: wahbi[at]users[dot]sourceforge[dot]net -
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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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sudoku
This a sudoku game using java like the on found in newspaper
This a sudoku game using java like the on found in newspaper -
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This project is an extended implementation of Knuth's "Dancing Links" algorithm and some use cases (e.g. Sudoku).
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Scenario
Simple, neat and powerful tool for loading and managing JS scripts
...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 executes multiple views of your code or multiple scenarios of your code life-time on-demand. -
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ParaBWT - parallel BWT construction
a parallel and space-efficient Burrows-Wheeler transfrom constructor
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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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noSisyphos
Embedded Rapid Application Development
...This system should be modular, which means, it's possible to add own components. The IDE (aka Tantalus) of the project must be able to handle also the self implemented components, without a recompile. It's possible to work parallel for the gui, the information are stored in XML, but for usage the data are transformed into a binary format, which decrease the code size and increase the speed of execution. -
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PARUS
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it. -
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C++11 ThreadPool
An easy-to-use thread pool for C++11.
An easy-to-use thread pool for C++11. With ThreadPool class for queueing free functions, and with parallel versions of std::for_each() and std::transform(). Configurable for header-only use or with a library. With many usage examples. -
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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. ... -
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Sisal is a unique parallel language that supports a clean, fully implicit parallelization model. The optimizing sisal compiler (sisalc) works on top of pthreads to give high performance on commodity SMP architectures.
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Distributed Multithread Apriori (DMTA)
A parallel implementation using MPI and OpenMP to Apriori algorithm
DMTA (Distributed Multithreaded Apriori) is a parallel implementation of Apriori algorithm, which exploits the parallelism at the level of threads and processes, seeking to perform load balancing among the cores. Was implemented in C++ language, using the parallelization libraries OpenMP and MPI. The algorithm was generated as a result of a project developed by André Camilo Bolina, under the guidance of teachers Marluce Rodrigues Pereira, Ahmed Ali Abdalla Esmin and Denilson Alves Pereira, in Department of Computer Science at Federal University of Lavras. ... -
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JBernstein
JBernstein: Exploration techniques for non-linear constraint checking
...Concerning performance, the tool enables to check all examples in the PVS Bernstein testsuite within a second, which can be an order of magnitude faster than some other tools such as QEPCAD or REDLOG. Although JBernstein uses double, it offers automatic error-estimation capabilities (experimental) so that the generated result is correct (the solver may return unknown when the error-estimate is too large) -
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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.
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Sudokut is a platform-independent Sudoku Solver written in Tcl. It is a command line tool, with no graphic interface: just pass a sudoku problem as a string to the command and it returns all possible solutions. It also explains the entire resolution process.
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FFmpeg for Android
Configure and build FFmpeg library with Android NDK
FFmpeg for Android is a set of Android makefiles which enable configuration and building FFmpeg library under Android source code tree with Android NDK. -
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genericmock
generic bits of useful code
...Everything is provided under BSD license so you don't need to worry about incorporating this into your commercial application. Bits of code: - redirecting standard streams (stdin, stdout, stderr) - getting access to a program's streams - run parallel tasks .... Visit the wiki for details: https://sourceforge.net/p/genericmock/wiki/Home/ -
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Drid
Multi-Purpose Automation Grid
Console-based tool that will allow for multiple types of automation testing to run in parallel. Written in Python -
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Route11
C++ flow-based metaprogramming library
Route11 is a powerful C++ flow-based metaprogramming library that allows you to create and route complex dataflow systems at compile-time. Route11 uses Template Metaprogramming to construct complex "process systems" defined by static relationships between "process primitives". A process primitive is a generic host class that inherits a "process policy". The process policy defines the specific behavior of a process primitive. The general term: "process" can refer to either one of these... -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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sudoku Solver
A sudoku solver project built with Java with a user friendly interface
This project has been built to allow you solve any Sudoku problem in no time. The project built using Java programming language. It`s simple interface built using Swing technology. A smart algorithm has been designed to solve your problem. First, using the systematic human way of solving. If the human failed to solve, your problem will be passed to a stronger algorithm that based on Try and Fail techniques and possibilities.
