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bluepill - Bluepill is a reliable iOS testing tool that runs UI tests using multiple simulators on a single machine
Bluepill is a tool to run iOS tests in parallel using multiple simulators.LinkedIn created Bluepill to run iOS tests in parallel using multiple simulators.
bluepill multiple-simulators xcode parallel ios testparallel - Inspired by GNU Parallel, a command-line CPU load balancer written in Rust.
This is an attempt at recreating the functionality of GNU Parallel, a work-stealer for the command-line, in Rust under a MIT license. The end goal will be to support much of the functionality of GNU Parallel and then to extend the functionality further for the next generation of command-line utilities written in Rust. While functionality is important, with the application being developed in Rust, the goal is to also be as fast and efficient as possible.See the to-do list for features and improvements that have yet to be done. If you want to contribute, pull requests are welcome. If you have an idea for improvement which isn't listed in the to-do list, feel free to email me and I will consider implementing that idea.
command-line-app parallel-computing parallelnode-s3-client - high level amazon s3 client for node.js
See also the companion CLI tool which is meant to be a drop-in replacement for s3cmd: s3-cli.This contains a reference to the aws-sdk module. It is a valid use case to use both this module and the lower level aws-sdk module in tandem.
amazon s3 sync folder directory retry limit stream async parallel multipart sizepxctest - Execute tests in parallel on multiple iOS Simulators
Execute tests in parallel on multiple iOS Simulators. The --destination option can be passed in several times and will execute the tests in parallel on all Simulators.
ios simulator parallel xctestnode-fibers - Fiber/coroutine support for v8 and node.
Fibers, sometimes called coroutines, are a powerful tool which expose an API to jump between multiple call stacks from within a single thread. This can be useful to make code written for a synchronous library play nicely in an asynchronous environment. Note: node-fibers uses node-gyp for building. To manually invoke the build process, you can use node-gyp rebuild. This will put the compiled extension in build/Release/fibers.node. However, when you do require('fibers'), it will expect the module to be in, for example, bin/linux-x64-v8-3.11/fibers.node. You can manually put the module here every time you build, or you can use the included build script. Either npm install or node build -f will do this for you. If you are going to be hacking on node-fibers, it may be worthwhile to first do node-gyp configure and then for subsequent rebuilds you can just do node-gyp build which will be faster than a full npm install or node-gyp rebuild.
fiber fibers coroutine thread async parallel worker future promiseorchestrator - A module for sequencing and executing tasks and dependencies in maximum concurrency
The name of the task. An array of task names to be executed and completed before your task will run.
async task parallel composenpm-run-all - A CLI tool to run multiple npm-scripts in parallel or sequential.
A CLI tool to run multiple npm-scripts in parallel or sequential. This npm-run-all package provides 3 CLI commands.
npm npm-module npm-package npm-scripts cli cli-command parallel series multi-platform cli-commands command commandline tool run sequential serial taskparallec - Fast Parallel Async HTTP/SSH/TCP/UDP/Ping Client Java Library
Parallec: Parallel Async HTTP/SSH/PING/TCP Client library. Details at: http://www.parallec.io
http-client parallel-requests http parallel async udp api api-management polling akka tcp api-consumer ping ssh tcp-client parallel-ssh restconcurrently - Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.
Run multiple commands concurrently. Like npm run watch-js & npm run watch-less but better. I like task automation with npm but the usual way to run multiple commands concurrently is npm run watch-js & npm run watch-css. That's fine but it's hard to keep on track of different outputs. Also if one process fails, others still keep running and you won't even notice the difference.
bash concurrent parallel concurrently command shgulp - The streaming build system
This file will give you a taste of what gulp does. Node already supports a lot of ES2015, to avoid compatibility problem we suggest to install Babel and rename your gulpfile.js as gulpfile.babel.js.
build stream system make tool asset pipeline series parallel streamingWebMonkeys - Massively parallel GPU programming on JavaScript, simple and clean.
Allows you to spawn thousands of parallel tasks on the GPU with the simplest, dumbest API possible. It works on the browser (with browserify) and on Node.js. It is ES5-compatible and doesn't require any WebGL extension. set/get allow you to send/receive data from the GPU, and work creates a number of parallel tasks (monkeys) that can read, process and rewrite that data. The language used is GLSL 1.0, extended array access (foo(index), usable anywhere on the source), setters (foo(index) := value, usable on the end only), and int i, a global variable with the index of the monkey.
webgl parallel primatestaskr - A fast, concurrency-focused task automation tool.
Taskr is a highly performant task runner, much like Gulp or Grunt, but written with concurrency in mind. With Taskr, everything is a coroutine, which allows for cascading and composable tasks; but unlike Gulp, it's not limited to the stream metaphor. Taskr is extremely extensible, so anything can be a task. Our core system will accept whatever you throw at it, resulting in a modular system of reusable plugins and tasks, connected by a declarative taskfile.js that's easy to read.
bluebird coroutines parallel task-runner lightweight generators performance nodejs tasksjs - turbo.js - perform massive parallel computations in your browser with GPGPU.
turbo.js is a small library that makes it easier to perform complex calculations that can be done in parallel. The actual calculation performed (the kernel executed) uses the GPU for execution. This enables you to work on an array of values all at once. turbo.js is compatible with all browsers (even IE when not using ES6 template strings) and most desktop and mobile GPUs.
glsl gpu vector simd calculations shaders gpgpu parallel webglsingularity - Singularity: Application containers for Linux
Singularity is an open source container platform designed to be simple, fast, and secure. Singularity is optimized for EPC and HPC workloads, allowing untrusted users to run untrusted containers in a trusted way. Check out who is using Singularity and some use cases of Singularity on our website.
containers container singularity-container portable hpc parallel singularity science reproducible reproducible-science portability rootless-containers cloud-nativeAndroid-Download-Manager-Pro - Android/Java download manager library help you to download files in parallel mechanism in some chunks
Android/Java download manager library help you to download files in parallel mechanism in some chunks. This library is a download manager android/java library which developers can use in their apps and allow you to download files in parallel mechanism in some chunks and notify developers about tasks status (any download file process is a task). Each download task cross 6 stats in its lifetime.
android downloadmanager parallel java-libraryloadjs - A tiny async loader / dependency manager for modern browsers (789 bytes)
LoadJS is a tiny async loader for modern browsers (789 bytes). LoadJS is a tiny async loading library for modern browsers (IE9+). It has a simple yet powerful dependency management system that lets you fetch JavaScript, CSS and image files in parallel and execute code after the dependencies have been met. The recommended way to use LoadJS is to include the minified source code of loadjs.js in your <html> (possibly in the <head> tag) and then use the loadjs global to manage JavaScript dependencies after pageload.
async loadjs parallel modern-browsers css-files loader dependency-managerflightplan - Run sequences of shell commands against local and remote hosts.
Run sequences of shell commands against local and remote hosts. Flightplan is a node.js library for streamlining application deployment or systems administration tasks.
nodejs deploy tasks ssh devops deployment commands exec shell bash parallel sequential remote local cloud fabrictqdm - A fast, extensible progress bar for Python and CLI
tqdm means "progress" in Arabic (taqadum, تقدّم) and is an abbreviation for "I love you so much" in Spanish (te quiero demasiado). trange(N) can be also used as a convenient shortcut for tqdm(xrange(N)).
progressbar progressmeter progress-bar meter rate eta console terminal time progress bar gui parallel cli utilitiespomegranate - Fast, flexible and easy to use probabilistic modelling in Python.
JMLR-MLOSS Manuscript Please consider citing it if you used it in your academic work. pomegranate is a package for probabilistic models in Python that is implemented in cython for speed. It's focus is on merging the easy-to-use scikit-learn API with the modularity that comes with probabilistic modeling to allow users to specify complicated models without needing to worry about implementation details. The models are built from the ground up with big data processing in mind and so natively support features like out-of-core learning and parallelism.
machine-learning probabilistic-graphical-models cython parallelBull - Premium package for handling jobs and messages in NodeJS
The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity.
priority-queue nodejs message-queue job-queue job queue task parallel worker-queue
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