Search Results for "parallel-sudoku-solver" - Page 46
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Showing 2100 open source projects for "parallel-sudoku-solver"
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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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TCM's bin2img converter
a powerful tool for sharing non-image files on image hosting sites
...It converts files into the PNG image format and is able to directly upload to an image hosting site. You can split files to circumvent file size limits, with a nice side effect: parallel, faster downloads. Using image hosting sites for sharing files has advantages over conventional One-click hosting services: No download queue and full speed. 1-click downloads are possible by using a special URL protocol: b2i:// The tool creates real, valid PNG files and encodes the files into pixel colors based on the byte values instead of breaking file format specs -
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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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The parallelized FDTD Schrodinger Solver implements a parallel algorithm for solving the time-independent 3d Schrodinger equation using the finite difference time domain (FDTD) method. See the Hosted Apps > MediaWiki menu item for more information.
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MathCalc aims to be a flexible calculator, it tries to make things very simple to the user. with extra features like sketching, matrix operations, Linear equation solver and more ! This document explains how to compile MathCalc and install it to your PC.
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Sudoku generator/solver/analyzer written in Java (English and German). Lots of human style techniques (singles, subsets, LCs, fish, wings, uniqueness, coloring, chains, ALS), powerful analyzer (manage multiple solutions for one sudoku). Includes Learning and training modes and a booklet printer.
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HECTOR
HECTOR is parallel error corrector for 454 datasets
We present HECTOR, a parallel multistage k-hopo spectrum based homopolymer-length error corrector for 454 sequencing data. -
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makedoku
Command line sudoku generator and solver. It uses opencl or openmp.
Command line sudoku generator and solver. It uses opencl or openmp to solve and generate grids. Each generated grid has an unique solution and the number of givens can be specified as parameter. -
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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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MIDI Step Sequencer - Cythar
Polyphonic MIDI sequencer
A pattern-oriented, polyphonic MIDI step-sequencer, which makes its own path. 16 parallel patterns with six tracks and 16 bars – equating to 256 bars & 96 tracks. Videos: https://www.youtube.com/watch?v=0UK7US2NwC0&list=PLZCmwv5U3kDP-3jldIzOErbnBOdGjJV_M Source: https://github.com/monotomy/CYTHAR-Sequenzer Check out B-Step Sequencer too: http://b-step.monoplugs.com . A similar, new Project. -
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ALCHEMY is a genotype calling algorithm for Affymetrix and Illumina products which is not based on clustering methods. Features include explicit handling of reduced heterozygosity due to inbreeding and accurate results with small sample sizes
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t2t-pipe
automatic alignment pipeline for parallel treebanks
The *Tree-to-Tree (t2t) Alignment Pipe* is a collection of python scripts, co-ordinating the process of automatic alignment of parallel treebanks from plain text files with a single call from a unix command line. Supported Languages: DE, FR, EN -
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The sequence alignment task in MAGI (magi.ucsd.edu) is based on the miRanda algorithm, but we redesign the miRanda algorithm on GPU by taking its advantages of massively parallel computing and extra high memory bandwidth using using NVIDIA’s Compute Unified Device Architecture (CUDA). The CUDA-miRanda implementation is a fast microRNA target identification algorithm that aligns short nucleotide sequences (i.e., < 32 nucleotides) against longer reference sequences (e.g., 20k nucleotides). It has the ability to report multiple alignments and the corresponding traceback sequences for any given query-reference pair with up to 166x speedup on 4 GPUs compared to regular CPUs.
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GXP is a parallel/distributed shell, plus a parallel task execution engine that runs your Makefile in parallel on distributed machines. Very easy to install (no need to compile. install it on YOUR machine and use it on ALL machines).
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CADET
Chromatography Analysis and Design Toolkit
We have moved to GitHub: https://github.com/cadet The Chromatography Analysis and Design Toolkit (CADET) is developed at the Institute of Bio- and Geosciences 1 (IBG-1) under supervision of Prof. Eric von Lieres. The core of the CADET software is a fast and accurate solver for the General Rate Model (GRM) of packed bed liquid chromatography. The CADET solver covers a wide range of GRM variants, combining different transport and binding models with state-of-the-art mathematical algorithms and scientific computing techniques. The CADET framework also comprises a MATLAB interface and standard routines for parameter estimation, process optimization and experimental design. ... -
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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. -
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PPSeq: Parallel NGS Analysis
Parallel Processing for Next-Generation Sequencing (NGS) Analysis
...However, along with its rapid development, the data magnitude and analysis complexity for NGS far exceed the capacity and capability of traditional small-scale computing facilities, such as multithreading algorithms on standalone workstations. To address this issue, here we present a solution using the ever-increasing supply of processing power by massive parallel processing (MPP) systems. -
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FASTCUDA
Execution of CUDA programs on a Heterogeneous FPGA-based Architecture
FASTCUDA methodology proposes the use of CUDA, a Graphical Processing Unit (GPU) language which exposes parallelism at source code in a FPGA hardware acceleration environment.The FASTCUDA toolset splits, with minimal user intervention, application's code into two parts: one that will be compiled and executed as parallel software in an embedded Multi-core, and another that will be synthesized and implemented with multiple special-purpose accelerators in hardware. -
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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 OpenCL SDK. ... -
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Parallel HRRT Deconvolution is a multithreaded ImageJ plugin for motion correction of PET brain images.
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PyDQP
Distributed QP Solver in Python
PyDQP implementes 11 different dual decomposition schemes, both first and second order, in order to solve quadratic programs in a distributed fashion. -
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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic...
