Search Results for "parallel language"
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Showing 22 open source projects for "parallel language"
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Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers. -
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Bazel
Fast, scalable, multi-language and extensible build system
Build and test software of any size, quickly and reliably. Bazel only rebuilds what is necessary. With advanced local and distributed caching, optimized dependency analysis and parallel execution, you get fast and incremental builds. Build and test Java, C++, Android, iOS, Go and a wide variety of other language platforms. Bazel runs on Windows, macOS, and Linux. Bazel helps you scale your organization, codebase and Continuous Integration system. It handles codebases of any size, in multiple repositories or a huge monorepo. ... -
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Karate
Test automation made simple
Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. You don’t have to compile code. Just write tests in a simple, readable syntax, carefully designed for HTTP, JSON, GraphQL and XML. ... -
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Vector Pascal is a language targeted at SIMD multi-core instruction-sets such as the AVX and SSE2 or x86-64-v3. It has a SIMD compiler which supports parallel vector operations, loop unrolling, common sub expression removal etc. It is implemented in Java.
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, DB repo, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator: https://acims.asu.edu/devs-suite/ OFFERS: 1) synchronized execution & animation, 2) run-time linear/superdense I/O & state trajectories, 3) Action Level Real-Time modeling & simulation, 4) model checking, 5) ABM, 6) CA & composable CA playback, 7) KIB interaction modeling, 8) hierarchical model libraries, 9) Black-Box testing & debugging, 10) PostgreSQL repository, 11) FMU (OpenModelica), 12) OSATE (AADL)... -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
...Support parallel extraction of result sets, support the automatic transfer of back-end result sets, support multiple routing notes, and optimizer notes. Parameterization of the requested SQL, cache physics execution plan, and request of the same parameterization SQL, will avoid some analysis and optimization processes. -
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Saturn
The vip.com's distributed job scheduling platform
Saturn is a platform created by VIP.com to provide a distributed, fault-tolerant and high available job scheduling service. -
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known network flow and other graph algorithms. ... -
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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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GDuplicateFinder
GDuplicateFinder - A FREE Groovy way to find file duplicates!
Unlike other duplicate finders such as Easy Duplicate File Finder, Auslogics Duplicate File Finder, MindGems Fast Duplicate File Finder, Duplicate Cleaner, DupFiles and others, GDuplicateFinder is a FREE cross-platform application, with the ability to search among not just local files, but files on the network, such as a Windows or a Linux share using VFS library. Taking advantage of Groovy facilities and GPars power to process in parallel, GDuplicateFinder will help you get rid of those duplicates you always wanted to dispose in an easy and friendly way. Looking for translators to translate the app! If you'd like to help me, please create a GitHub Issue here (https://github.com/guicamest/GDuplicate-Finder/issues) mentioning the language so that I get notified. ... -
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AWK~plus is the next generation script practice environment. The AWK Language specifications and a main extension of GNU GAWK. Combination of Dynamic and Static typing. Parallel computing that a lock is free, and is thread safe at a language level.
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Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *... -
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A scripting language and reference implementation to allow command line tools to be chained into complex parallel workflows.
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
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DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.
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Simple text editor for editing multiple language files in parallel. Corresponding translations are automatically highlighted in order to aid reviewing against multiple sources. Supports gettext PO and key = value format. Highly recommended for polyglots.
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The PyAALib-JyAALib project is a Python-Java/Jython implementation of the Asynchronous Action Framework based on Pure Object Oriented Concepts. The Massive Parallel Framework in Python Language - Full Compatible with Jython-JAVA
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A Java port of LDC's Champollion sentence aligner (http://champollion.sourceforge.net). Intended audience is Natural Language researchers wishing to sentence-align parallel text. In the future, Akerblad will extend Champollion with such features as rule
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An open source,platform independent,technical web programming language using MATLAB in background, that supports 3-Tier Architecture (Web-Business-DB) including Distributed Computing and Parallel Processing via remote procedure calls and web services.
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LOOP (Language Object Oriented Parallel) is a visual programming language project dedicated to creating a full suite of components for simulation of hierarchical dynamical systems in discrete time.
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