Search Results for "multicore"
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Showing 18 open source projects for "multicore"
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ParDRe
Parallel tool to remove duplicate DNA reads
...This tool will let the users to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset (e.g., assemblies, mappings, etc.). The tool is implemented with MPI in order to exploit the parallel capabilities of multicore clusters. It is faster than multithreaded counterparts (end of 2015) for the same number of cores and, thanks to the message-passing technology, it can be executed on clusters. There also exists a MapReduce counterpart of ParDRe, called MarDRe (see the link above). UPDATE: From version 2.0.5 ParDRe also provides support to remove only optical duplicates (and leave biologically interesting duplicates) as well as to work with compressed input/output with .gz format. -
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QInterference
Double slit experiment visualization tool loving multicore processors
QInterference can visualize batch of double slit experiments. It can also solve it in radial as well as Cartesian coordinates and moreover it can simulate functionality the phase-array radar with the main-bundle deflection. -
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MPI-dot2dot
A Parallel Tool to Find DNA Tandem Repeats on Multicore Clusters
MPI-dot2dot is a parallel tool to accelerate the identification of Tandem Repeats on multisequence datasetes. This tool receives as input a multisequence file with FASTQ or FASTA formats. It uses MPI processes and OpenMP threads to exploit the compute capabilities of multicore clusters. -
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progrep
Utility to show live progress, status & stats for running simulations
...It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can also report for jobs running on remote hosts, e.g. jobs running on Linux Clusters. progrep works in client-server model. The server can be installed in your simulation source code with only 4 extra lines (API). When the progrep command is invoked, it queries this server as a client. progrep does not interfere with or slow down your simulation when not invoked. ... -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
...The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs, etc). This project has been initiated by the Research Group on Natural Computing (Department of Computer Science and Artificial Intelligence, University of Seville). PMCGPU was born inside the P-Lingua project, of the same research group. PMCGPU is a GNU project, so all the applications developed within it are released under the GPLv3 license. ... -
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
...This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems. Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. Written in pure Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for Big Data processing. -
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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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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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MuffinEC
Multi-technology, INDEL aware error correction for NGS data
...It officially supports four technologies (Illumina, 454, ion Torrent and PacBio - experimental) and it also has a generic setup for others (old and/or new). It is released under LGPL version 3.0. MuffinEC can use multicore systems, thanks to its OpenMP implementation. We are developing the 2nd version of MuffinEC. The beta version is already available online. The changes are listed in the VERSION_HISTORY file. Please report any problem you may encounter at the email address specified in the README file. We really appreciate your help. -
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10
ParDRR-MPI
Parallel Duplicate Read Remover with MPI
...This tool will let the users to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset (e.g., assemblies, mappings, etc.). The tool is implemented with MPI in order to exploit the parallel capabilities of multicore clusters. It is faster than multithreaded counterparts (end of 2015) for the same number of cores and, thanks to the message-passing technology, it can be executed on clusters. -
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codonPhyML uses Markovian codon models of evolution in phylogeny reconstruction. Given a set of species characterized by their DNA sequences as input, codonPhyML will return the phylogenetic tree that best describes their evolutionary relationship. Our paper describing codonPhyML has been published in the journal "Molecular Biology and Evolution" (MBE). For more details, follow the link: http://mbe.oxfordjournals.org/content/30/6/1270. codonPhyML is on the cover of MBE! Check this out...
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12
Intel(R) CnC
Parallelism without the Pain
CnC makes it easy to write C++ programs which take full advantage of the available parallelism. Whether run on multicore systems, Xeon Phi™ or clusters CnC will seamlessly exploit the performance potential of your hardware. Through its portabilty and composability (with itself and other tools) it provides future-proof scalability. Intel© Concurrent Collections for C++ is a C++ template library for letting C++ programmers implement CnC applications which run in parallel on shared and distributed memory. -
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A Scalable Multicore Code for RNA Secondary Structure Prediction
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The Clavis user-level scheduler is designed to implement various scheduling algorithms under Linux Operating System running on multicore and NUMA machines. It is written in C to make the integration with the default OS scheduling facilities seamless.
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HSOC
Heterogeneous System-on-Chip Platform
...To reference this work: M.D. Grammatikakis, A. Papagrigoriou, P. Petrakis, and G. Kornaros, "Monitoring-aware VP prototypeof heterogeneous NoC-based multicore SoCs", Digital System Design Conf. (DSD), 2013, pp. 497-504. Available from http://doi.ieeecomputersociety.org/10.1109/DSD.2013.59 This research has been co-financed through the National Project Archimedes III and is co-financed by the EU project FP7-vIrtical. -
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Pike
A wrapper tool for Cotson simulator
A wrapper for Cotson simulator, to automate the installation and simulations of multicore-multinode CPU model -
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GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
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Multicore SWARM (Software and Algorithms for Running on Multicore Processors) is an open source library for developing efficient and portable implementations that make use of multi-core processors. David A. Bader (Georgia Tech) began SWARM in 1994.
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