Search Results for "parallel" - Page 34
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Showing 1671 open source projects for "parallel"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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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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Hrothgar Parallel LM/MCMC Minimizer
A versatile MCMC and downhill optimization engine
Hrothgar is a parallel minimizer and Markov Chain Monte Carlo generator by Andisheh Mahdavi of San Francisco State University. It has been used to solve optimization problems in astrophysics (galaxy cluster mass profiles) as well as in experimental particle physics (hadronic tau decays). It is probably adaptable enough to be applied to your merit function if you can write it in C. -
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DBM is a Database Deployment Manager application. It provides an easy way of creating the initial database layout, and also features a diagram editor to visualize the relationship between tables. It also has a unique object oriented modelling feature
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Parallel Neural Networks
Neural networks in CUDA & OpenCL with back propagation algorithm
...It's aim is to compare the efficiency of both technologies and to check where which hacks works better. What is more one of my tasks is to compare different ways of decomposing computations in parallel. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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ParaBWT - parallel BWT construction
a parallel and space-efficient Burrows-Wheeler transfrom constructor
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Parallel GENSENG is a parallel implementation of the GENSENG software for detecting copy number variations from high-throughput sequencing data. This software runs exactly as the original code does, except that it utilizes multiple threads where possible. OpenMP was used for multi-threading so changes to the original code were minimal.
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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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piv_clustering
structural clustering of atomic trajectories based on PIV
This program allows to perform a structural cluster analysis of atomic trajectories obtained, e.g., from molecular dynamics simulations. At variance with other approaches, it is possible to analyse also processes in solution, e.g., chemical reactions in liquid water, since the distance metric is based on a Permutation Invariant Vector (PIV) that is symmetric under exchange of identical atoms or molecules, including on the same footing both solute and solvent degrees of freedom. The... -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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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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FASCIA: Parallel Subgraph Counting
Parallel graph analysis package
Fast Parallel Subgraph Counting using Color-coding. -
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Crackpot is an action planning system based on iterative repair. It features real-time optimization and revision, auto-scaling on parallel architectures, and handles temporal reasoning, resources, and an open, complex planning world.
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gxLibrary : C++ (CUDA+AMP+CPU)
C++ library for easy simulations on any CUDA/AMP/CPU or remote PC
...Write code functions once, just like they would be written for regular single-threaded cases - no need to write separate code for CUDA or AMP or CPU, or to modify code for parallel execution. No need for *any* knowledge about CUDA or AMP or even CPU multi-threading. gxLibrary is source only ( 4 files ), intended to be included in Visual Studio 2012+ projects , primarily geared for non-production projects (proofs of concepts, testing, individual problem solutions) on Visual C++ Win32 Console applications, but can be used in other environments also. ... -
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CHANCE-HT
ChIP-seq data pre-processing software
CHANCE-HT is a ChIP-seq pre-processing software that filters samples with weak IP-strength, identifies heavily biased control experiments and under sequenced samples, detects batch effects, and normalizes large ensembles of ChIP-seq datasets. CHANCE-HT uses a parallel processing approach to normalize and filter large collections of ChIP-seq datasets in tandem. -
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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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Parallel_Algorithms
list of parallel Algorithms developed in Parallel Algo course
These are the implementation of various parallel algorithms like Symmemtric division for sum and maximum, Optimal sum using parallel algorithms, List ranking, Tree contraction, Matrix vector multiplication, Counting the number of vowels, consonants, digits, Matrix transpose, Block based matrix multiplication, the project folder has 4 implemenations of Matrix Multiplication algorithms, one simple muliplication, Transpose based multiplication, Strip based matrix mulitiplication -
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pmutualinformation
Computes pairwise genes mutual information using GEPs
pmutualinformation (parallel mutual information) computes the pairwise Mutual Information for all pairs of genes from a potentially massive and heterogeneous dataset containing GEPs. GEPs can be part of different experiments collected from public repositories. pmutualinformation runs on MIMD systems and has been implemented in C using the MPI standard. -
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...We aim at providing algorithms that run Fixed Parameter Tractable algorithms (utilizing Kernelization where possible), Tree-Width based, Randomized Algorithms, etc. in parallel. So the aim of the project is to give you simple interfaces to the best algorithms for these problems.
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C++Cá&Lá
A parallel middleware for C and C++ developers
How can we easily develop applications for multicore or multicomputer architectures? We frequently use middlewares for that problem, but they are often complex and less productive. This way, at DECOM-UFOP, we have two middlewares, named C++Ca&La and JavaCa&La, to build portable and scalable solutions over many high performance computer architectures. Our middlewares APIs are simple, intuitive and designed for young and senior programmers who don’t have high performance programming skills,... -
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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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Scripture
Biblical Data-Research Tool
the real is finite; the irreal is infinite. The unreal is bigger than infinite. real is the physical; irreal is the possible. Unreal is the incoherent, useless, meaningless, insane.. all religions offend me, when someone tries to sell me their delusions. when someone say i can't have morals without religion. when someone doesn't hold others to their level just because of a iron age book. when they refuse to understand why faith is harmful. when they kill and hate for their imagenary gods.... -
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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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depinit
An alternative init program
Depinit is an alternative init program that can handle parallel execution, dependencies, true roll-back, pipelines, improved signaling and unmounting filesystems on shutdown. It incorporates ideas from sysvinit, simpleinit, daemontools and make. At present, it is a bit experimental, and requires good knowledge of the initialisation process to set up.
