Search Results for "parallel computing" - Page 4
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Showing 220 open source projects for "parallel computing"
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2. Tune kernel Ridge MM (HPC parallel)
Shell/R program which tunes kernel Ridge by parallel computing
A shell/R program for HPC Linux clusters which allows users to estimate the optimal rate of decay parameter for kernel Ridge regression, within the mixed model framework, for prediction. The optimal rate of decay is estimated using K-folds cross validation parallelized using cluster nodes. -
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PanCGP
PanCGP: Pangenome and Comparative Genome Analysis Pipeline tool
Pan-genome and Comparative Genome analysis Pipeline tool is a high performance parallel computing analysis tool. The aim of developing this high performance and scalable pipeline is to reduce the time cost of calculating the pan-genomes from the given dataset of protein sequences of bacterial strains. The pipeline is able to compute pan-genome analysis from unpublished data-sets as well. Those results are interpreted in the form of pan-genome, core genome/proteins, dispensable genes/proteins, unique/strain-specific genes/proteins, new gene/protein families and total number of genes per strain of the specie. ... -
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CUPBB
A Compute Unified Parallel Building Blocks Library Using GPU Computing
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SAT-Assembler
Scalable and accurate targeted gene assembly for large-scale NGS data
...It recovers genes from gene families of particular interest to biologists with high coverage, low chimera rate, and extremely low memory usage compared with exiting gene assembly tools. Moreover, it is naturally compatible with parallel computing platforms. -
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Polaris CFD
Aerodynamics simulations based on gas kinetics
Polaris CFD is a complete CFD software suite for Aerodynamics simulations created by Alta Dynamics. It is validated to provided accurate results for both internal and external flow problems. Its viewer is built on ParaView for pre and post processing. -
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Bat2015
Bachelor of Science (Informatik)
...With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do. -
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aCompute
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to be yet designed) Software agents will automatically manage the rest or resource management, sharing , cloning of tasks etc. ... -
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CUDA-Quicksort
CUDA-Quicksort: A GPU-based implementation of the quicksort algorithm
CUDA-quicksort is a GPU-based implementation of the quicksort algorithm. CUDA-quicksort is designed to exploit the power computing of modern NVIDIA GPUs. "Two GPU-based implementations of the quicksort were presented in literature: the GPU-quicksort, a compute-unified device architecture (CUDA) iterative implementation, and the CUDA dynamic parallel (CDP) quicksort, a recursive implementation provided by NVIDIA Corporation."[*]. CUDA-quicksort is an iterative GPU-based implementation of the quicksort algorithm. ... -
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MPJ Express is an implementation of an MPI-like API—standardized by the Java Grande forum—used to write parallel Java applications, which can execute on a variety of parallel platforms ranging from multicore processors to compute clusters/clouds.
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Ichnaea
Performance Timing Tools
Ichnaea is a set of tools that aid in collecting and tracking parameters and timings for parallel applications. The Performance Modelling Timing Module, PMTM, is a library that wraps system timing calls to abstract these from code developers and aid portability. It also has functionality to store parameters and print those, along with the timing information to a comma separated variable file. The Performance Modelling Analysis Tool, PMAT, is coming soon. This is able to read in and... -
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parSRA
Portable Framework for the Parallel Execution of Short Read Aligners
...It uses the following techniques in order to improve scalability: 1) a fast splitting of the input reads using the FUSE kernel module available in most of current Linux distributions; 2) a balanced on-demand distribution of the reads based on the shared locks of UPC++, an extension of C++ for parallel computing that follows the Partitioned Global Address Space (PGAS) paradigm. parSRA is portable as its configuration file allows the users to parallelize the execution of existing SRA tools without the need to modify the source code of parSRA or the aligner. -
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Distributed Video Transcoding
Distributed Video Transcoding
Simple Scalable, Parallel, Multi-bitrate Video Transcoding On Centos / Ubuntu / Suse / RedHat (Bash Scripts) Multi-bitrate Video processing requires lots of computing power and time to process full movie. There are different open source video transcoding and processing tools freely available in Linux, like libav-tools, ffmpeg, mencoder, and handbrake. -
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COMRAD-MPI
Compression of Large Genomic Datasets using Parallel Computing
COMRAD-MPI is a parallel computing algorithm for reducing the computational time for compressing the large genomic data sets based on COMRAD algorithm. It captures the long range repeat redundancies in large genomes there by providing a way to compress the large DNA data set. Three stages- Substitution, Clean up and Huffman encoding have been parallelized using message passing library. -
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HpcTemplateLib
HPC Template Library to supplement the STL
This package is intended to provide the user with threadsafe containers and classes for applications in High Performance Computing (HPC) where parallel programming is commonplace. Today’s multi-core computers bring that parallelism into the realm of everyday use. It is important to provide thread safe containers and classes in this environment. The HPC Template Library (HTL) aims to replace certain portions of the STL. It is a merger and rewrite of classes from the STL, QT, Boost, and SigSlots libraries. ... -
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Center for Parallel Computing
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neuranep
Neural Network Engineering Platform
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. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating... -
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mapgraph
Massively Parallel Graph processing on GPUs -- now part of Blazegraph
Mapgraph is SYSTAP’s disruptive new technology to exploit the main memory bandwidth advantages of GPUs. The early work was co-developed with the University of Utah SCI Institute and has its pedigree in the UINTAH software running on over 750M cores on the TITAN Super Computer. Today, SYSTAP has commercialized this technology into it’s Blazegraph Accelerator and Blazegraph HPC products. Checkout our options for GPU acceleration of graphs or contact us to learn more: ... -
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PUB-Web is a peer-to-peer based volunteer computing environment for parallel applications written in Java.
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myopentrader
Open-source complex-event based trading engine
...We have started MOT in 2012 and we have been using MOT ever since successfully. The best way of describing MOT is a flexible open-source trading framework. It is built from ground up as a parallel computing engine, which allows to do large scale parallel backtesting. MOT is distributed under the GPL v3 License and is free to use for everyone without warranty. MyOpenTrader.org is not responsible for any of your trading losses and can not be held accountable. Use the framework at your OWN risk. MOT is written purely in Java (1.6++) and has dependencies on a DB as well as a MQ Broker (such as ActiveMQ). -
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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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Ezys
Ezys 3D medical image registration program
Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. ... -
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Gravity Force X
Expanded remake of 1994 Amiga game "Gravity Force 2".
A remake of 1994 Amiga game "Gravity Force 2" (GF2), a two player, realtime versus game crossing the destructible bitmap level of "Worms" with the flight mechanics of "Thrust". The core mechanics and appearance of this game is intended to be faithful to GF2. Some expansions have been made over the original, made possible by modern computing power, such as increasing the number of projectiles, higher definition graphics. Programmed in Dark Basic Pro. Requires Windows with DirectX 9c (can install in parallel with higher DirectX ) -
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PuSSH is Pythonic, Ubiquitous SSH, a Python wrapper/script that runs commands in parallel on clusters/ranges of linux/unix machines via SSH, ideally where SSH is configured to use Kerberos, RSA/DSA keys, or ssh-agent as to avoid password authentication.
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Fast Gauss-Legendre Quadrature Rules
Computes Gauss-Legendre quadrature nodes and weights
This software computes Gauss-Legendre quadrature nodes and weights using the formulas developed in "Iteration-Free Computation of Gauss-Legendre Quadrature Nodes and Weights", I. Bogaert, published in the SIAM Journal of Scientific Computing (Permalink: http://dx.doi.org/10.1137/140954969). The key features are: - Speed: due to the simplified formulas and the O(1) complexity computation of individual Gauss-Legendre quadrature nodes and weights. The latter also makes this software perfectly compatible with parallel computing paradigms. - Accuracy: the error on the nodes and weights is smaller than a few ulps (see the paper for details). -
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