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bild - A collection of parallel image processing algorithms in pure Go
A collection of parallel image processing algorithms in pure Go.The aim of this project is simplicity in use and development over high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It is based on standard Go packages to reduce dependency use and development abstractions.
algorithm parallelism histogram image-processing signal-processing effects image-editing concurrency resize go-libraryphobos - The standard library of the D programming language
Phobos is the standard library that comes with the D Programming Language Compiler. Phobos is packaged together with the compiler. You should download the whole precompiled package.
phobos dlang standard-library algorithms concurrency containers datetime digest allocator functional math ranges regex parallelism stdio meta traits unicode type-conversioncrossbeam - Support for parallelism and low-level concurrency in Rust
Crossbeam supports concurrent programming, especially focusing on memory management, synchronization, and non-blocking data structures. atomic for enhancing std::sync API. AtomicConsume provides C/C++11-style "consume" atomic operations (re-exported from crossbeam-utils). ArcCell provides atomic storage and retrieval of Arc.
synchronization concurrency parallelismAkka - Build Concurrent and Scalable Applications
Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.
concurrency scalable fault-tolerance event-driven parallelism messaging high-availabilitytbb - Official Intel(R) Threading Building Blocks (Intel TBB) GitHub repository.
Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that take full advantage of multicore performance, that are portable, composable and have future-proof scalability. Here are the latest Changes and Release Notes (contains system requirements and known issues).
tbb tbbmalloc threading parallelism composability heterogeneousprogramming taskparallelism flowgraphsyntax_sugar_python - A library adding some anti-Pythonic syntatic sugar to Python
This lib adds some anti-Pythonic "syntactic sugar" to Python. NOTE: This is merely an experimental prototype to show some potential of operator overloading in Python. Only tested under Python 3.6.0. Anything may evolve without announcement in advance.
syntax-sugar pipeline parallelism functionals4 - Distributed Stream Computing Platform
S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. S4 has been deployed in production systems at Yahoo to process thousands of search queries per second.
distributed scalable fault-tolerant parallelism messagingGpars - Groovy parallel systems
Gpars is a framework which provides straightforward Java or Groovy-based APIs to declare, which parts of the code should be performed in parallel. Collections can have their elements processed concurrently, closures can be turned into composable asynchronous functions and run in the background on your behalf, mutable data can be protected by agents or software transactional memory.
concurrency scalable event-driven parallelism messagingknapsack - Knapsack splits tests across CI nodes and makes sure that tests will run comparable time on each node
Knapsack splits tests across CI nodes and makes sure that tests will run comparable time on each node.
rspec cucumber minitest spinach turnip parallelism testing-tools auto-balancing ci-server buildkite travis-ci circle-ci semaphore-ci snap-cifucking-java-concurrency - π simple show cases of java concurrency problems
π simple show cases of java concurrency problems
concurrency demo showcase concurrent-programming concurrency-problem concurrency-issue concurrency-gotchas thread-safety multi-threading parallelismfetch - Simple & Efficient data access for Scala and Scala.js
Add the following dependency to your project's build file.Fetch is a library for making access to data both simple & efficient. Fetch is especially useful when querying data that has a latency cost, such as databases or web services.
scala-js cats monix data data-fetching parallelism concurrency sequencing monadsThunderSVM - A Fast SVM Library on GPUs and CPUs
The mission of ThunderSVM is to help users easily and efficiently apply SVMs to solve problems. ThunderSVM exploits GPUs and multi-core CPUs to achieve high efficiency. It supports all functionalities of LibSVM such as one-class SVMs, SVC, SVR and probabilistic SVMs. It can use same command line options as LibSVM. It supports Python, R and Matlab interfaces.
svm classification regression one-class-learning parallelism cuda support-vector-machinethroat - Throttle a collection of promise returning functions
Throttle the parallelism of an asynchronous, promise returning, function / functions. This has special utility when you set the concurrency to 1. That way you get a mutually exclusive lock. This returns a function that acts a bit like a lock (exactly as a lock if concurrency is 1).
promise concurrency typescript flow aplus then throttle parallelism limitcsv - CSV Decoding and Encoding for Elixir
RFC 4180 compliant CSV parsing and encoding for Elixir. Allows to specify other separators, so it could also be named: TSV. Why it is not idk, because of defaults I think. It parses files which contain rows (in utf-8) separated by either commas or other separators.
elixir csv encoding parsing stream parallelism rfc-4180start - :red_circle: Functional task runner for Node.js
Coming soon. All the packages in this repository are released under the terms of the MIT License.
nodejs tasks runner parallelism concurrency promise typescript esmparallelizer - Simplifies the parallelization of function calls
Running multiple function calls in parallel without a timeout.Running multiple function calls in parallel with a large enough worker pool.
parallel parallelism parallelization parallelize function functions timeout worker pool worker-poolutil - A collection of useful utility functions
A collection of useful utility functions
utility utilities string strings string-manipulation conditional-statements conditional condition conditions errors concurrency parallelism concurrent parallel compression decompression hash hashing conversion conversionsparamgmt - A parallel SSH-based remote machine management system
This is not an official Google product. This project was created by Nic McDonald at Google.ParaMgmt is a python package designed to ease the burden of interacting with many remote machines via SSH. The primary focus is on parallelism, good error handling, automatic connection retries, and nice viewable output. The abilities of ParaMgmt include running local commands, running remote commands, transferring files to and from remote machines, and executing local scripts on remote machines. This package includes command-line executables that wrap the functionality provided by the Python package.
remote-machine ssh parallelismrabbitmq-sharding
This plugin introduces the concept of sharded queues for RabbitMQ. Sharding is performed by exchanges, that is, messages will be partitioned across "shard" queues by one exchange that we should define as sharded. The machinery used behind the scenes implies defining an exchange that will partition, or shard messages across queues. The partitioning will be done automatically for you, i.e: once you define an exchange as sharded, then the supporting queues will be automatically created on every cluster node and messages will be sharded across them.This plugin is reasonably mature and known to have production users.
rabbitmq parallelism rabbitmq-pluginimminent - A composable Futures library for Clojure
Simply put, because the (1) core abstractions don't compose and (2) in order to get the value out of one of them you have to necessarily block the current thread. Imminent solves both problems. It is also heavily inspired by Scala's Futures and Twitter Futures.
composable-futures concurrency parallelism
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