GitHub - mafredri/zsh-async: Because your terminal should be able to perform tasks asynchronously without external tools!You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
JCTools
Java Concurrency Tools View the Project on GitHub JCTools/JCTools Download ZIP File Download TAR Ball View On GitHub JCTools Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK: SPSC/MPSC/SPMC/MPMC variations for concurrent queues: SPSC - Single Producer Single Consumer (Wait Free, bounded and unbounded) MPSC - Multi Produce
Manticore
The Manticore Project Manticore is a high-level parallel programming language aimed at general-purpose applications running on multi-core processors. Manticore supports parallelism at multiple levels: explicit concurrency and coarse-grain parallelism via CML-style constructs and fine-grain parallelism via various light-weight notations, such as parallel tuple expressions and NESL/Nepal-style paral
Effective Concurrency with Algebraic Effects · KC Sivaramakrishnan
Algebraic effects and handlers provide a modular abstraction for expressing effectful computation, allowing the programmer to separate the expression of an effectful computation from its implementation. In this post, I will present an extension to OCaml for programming with linear algebraic effects, and demonstrate its use in expressing concurrency primitives for multicore OCaml. The design and im
Red Programming Language
Last year, qtxie worked on a toy text backend project and submitted a PR for that. After some extra additions and testing recently, it has now been merged even if it is still incomplete, it is usable enough. So, in addition to the shiny GUI backends in Red/View, now we have an old-school text-based user interfaces (TUI) backend for the View engine! The new TUI backend has currently a subset of the
Clojureã®ã„ã‚ã‚“ãªä¸¦è¡Œå‡¦ç†ã®ä½¿ã„分ã‘
Clojureã®ã„ã‚ã‚“ãªä¸¦è¡Œå‡¦ç†ã®ä½¿ã„分㑠Clojureã«ã¯æ¨™æº–ã§ã‚‚agentç³»ã®send, send-offã«åŠ ãˆã€future関数ã¨ã„ã†ã‚¹ãƒ¬ãƒƒãƒ‰èµ·å‹•ç³»é–¢æ•°ãŒã‚ã‚Šã¾ã™ã€‚ core.asyncã®ç™»å ´ã§ã€ã“ã“ã«goマクãƒã¨threadマクãƒãŒåŠ ã‚ã‚Šã¾ã—ãŸã€‚ ã“れらã¯ã™ã¹ã¦ã€èƒŒå¾Œã§ã¯Javaã®Executorsを使ã£ã¦ã‚¹ãƒ¬ãƒƒãƒ‰ãƒ—ールを作りã€ä¸€åº¦ç”Ÿæˆã—ãŸã‚¹ãƒ¬ãƒƒãƒ‰ã®å†åˆ©ç”¨ã‚’è¡Œã„ã¾ã™ãŒã€ãã‚Œãžã‚Œä½¿ã£ã¦ã„るスレッドプールãŒç•°ãªã‚Šã¾ã™ã€‚ã•ã‚‰ã«é–¢æ•°è‡ªä½“ã®æ©Ÿèƒ½ã‚‚ç•°ãªã‚‹ãŸã‚ã€ã©ã‚Œã‚’ã¤ã‹ã£ãŸã‚‰ã„ã„ã®ã‹è¿·ã£ã¦ã—ã¾ã†ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚ 自分用ã«æ•´ç†ã—ãŸã®ã§ã€ãƒ¡ãƒ¢ã¨ã—ã¦ãŠã„ã¦ãŠãã¾ã™ã€‚ IOãƒã‚¦ãƒ³ãƒ‰ã¨CPUãƒã‚¦ãƒ³ãƒ‰ã¾ãšã€Clojureã®ã‚¹ãƒ¬ãƒƒãƒ‰é–¢é€£é–¢æ•°ã®ç”¨é€”ã¯ã€å¤§ãã2種類ã«ã‚ã‘られã¾ã™ã€‚ãã‚ŒãŒã€IOãƒã‚¦ãƒ³ãƒ‰ã¨CPUãƒã‚¦ãƒ³ãƒ‰ã§ã™ã€‚ IOãƒã‚¦ãƒ³ãƒ‰ãªå‡¦ç†ã¯ã€å®Ÿè¡Œä¸ã®å‡¦ç†ãŒCPUよりもIO処ç†ã«å¼·ãä¾å˜ã—ã¾ã™ã€‚DBアクセス
Quasar
Overview Quasar is a library that provides high-performance lightweight threads, Go-like channels, Erlang-like actors, and other asynchronous programming tools for Java and Kotlin. A good introduction to Quasar can be found in the blog post Erlang (and Go) in Clojure (and Java), Lightweight Threads, Channels and Actors for the JVM. Quasar is developed by Parallel Universe and released as free soft
Comsat | Documentation | Parallel Universe
Overview COMSAT (or Comsat) is a set of open source libraries that integrate Quasar with various web or enterprise technologies (like HTTP services and database access). With Comsat, you can write web applications that are scalable and performing and, at the same time, are simple to code and maintain. Comsat is not a web framework. In fact, it does not add new APIs at all (with one exception, Web
Pony - Pony
Pony¶ Welcome! This is the website for the Pony programming language. Pony is an open-source, object-oriented, actor-model, capabilities-secure, high-performance programming language. Quick links¶ What is Pony? Frequently asked questions Try it in your browser Example Pony applications Installation Get started learning Pony Tutorial Standard Library Documentation Getting help Existing user referen
mill - Go-style concurrency in C
This webpage was generated by the domain owner using Sedo Domain Parking. Disclaimer: Sedo maintains no relationship with third party advertisers. Reference to any specific service or trade mark is not controlled by Sedo nor does it constitute or imply its association, endorsement or recommendation.
Concurrency Utilities for Java EEã‚’ã¤ã‹ã£ã¦ã¿ã‚‹ - Qiita
ã“ã‚Œã¯Java EE Advent Calendar 2014ã®11日目ã®è¨˜äº‹ã§ã™ã€‚昨日ã¯@tkxlabã•ã‚“ã®JavaEEã‚’ã¯ã˜ã‚よã†ï¼ã§ã—ãŸã€‚明日ã¯@tatsu983ã•ã‚“ã§ã™ã€‚ 先日ã®JJUG CCC 2014 Fallã§ã¯ï¼ŒJSR 356 Java API for WebSocket 1.0ã«ã¤ã„ã¦ãŠè©±ã•ã›ã¦ã„ãŸã ãã¾ã—ãŸãŒï¼Œä»Šå›žã¯JSR 236 Concurrency Utilities for Java EEã«ã¤ã„ã¦ã§ã™ã€‚ Concurrency Utilities for Java EEã«ã¤ã„㦠Javaã®ä¸¦è¡Œå‡¦ç†ã®æ´å² Javaã«ãŠã‘る並行処ç†ï¼Œã¤ã¾ã‚Šãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ã«ã‚ˆã‚‹åŒæ™‚実行ã®æ´å²ã«ã¤ã„ã¦ã¯ï¼Œ9月ã®JJUGã®ãƒŠã‚¤ãƒˆã‚»ãƒŸãƒŠãƒ¼ã§ã•ãらã°ã•ã‚“ãŒè©±ã•ã‚ŒãŸLegend of Java Concurrency/ParallelismãŒã¨ã¦ã‚‚ã„ã„ã¾ã¨ã‚ã«ãªã£ã¦ã„ã¾ã™ã®ã§ï¼Œãœã²ã”らんãã ã•
Introduction to the Disruptor
The document discusses the Disruptor, a data structure and work flow that allows for high-performance concurrent programming with no contention. The Disruptor uses a ring buffer to pass messages between threads very quickly in a parallel manner. Publishers can insert events into the ring buffer, while batch event processors can read the events in batches to process them in parallel threads. The Di
LMAX Disruptor
LMAX are recruiting once again. If you are interested in working with a great team, with some amazing technology, and think you can add something to the mix then please check out our jobs page. LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Perform
LMAX - How to Do 100K TPS at Less than 1ms Latency
Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale Large-scale software delivery demands managing complexity across teams and organizations. Similarly to betting strategies in Vegas, embracing probabilistic thinking helps tackle uncertainty, shifting from rigid plans to adaptive systems. By making informed bets and designing for change, leaders can control volatility
GitHub - mirage/ocaml-cohttp: An OCaml library for HTTP clients and servers using Lwt or Async
Cohttp is an OCaml library for creating HTTP daemons. It has a portable HTTP parser, and implementations using various asynchronous programming libraries: Http provides essential type definitions used in Cohttp and an extremely fast http parser. It is designed to have no dependencies and make it easy for other packages to easily interoperate with Cohttp. Cohttp_lwt_unix uses the Lwt library, and s
マルãƒã‚³ã‚¢ã§ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ã‚ˆã†ã«ãªã£ãŸHaskell | IIJã®æŠ€è¡“ | インターãƒãƒƒãƒˆã‚¤ãƒ‹ã‚·ã‚¢ãƒ†ã‚£ãƒ–（IIJ）
（※）ã“ã®ãƒšãƒ¼ã‚¸ã§ç´¹ä»‹ã—ã¦ã„ã‚‹äº‹é …ã¯è¨˜äº‹åˆå‡ºæ™‚点ã®æƒ…å ±ã«åŸºã¥ã„ãŸã‚‚ã®ã§ã™ã€‚本ページã¯ã‚¢ãƒ¼ã‚«ã‚¤ãƒ–ã¨ã—ã¦æŽ²è¼‰ã—ã¦ã„ã¾ã™ã€‚ ツイート 2015å¹´2月12æ—¥ Glasgow Haskell Compiler（GHC）ã¯ã€é–¢æ•°åž‹è¨€èªžHaskellã®ä¸»è¦ã‚³ãƒ³ãƒ‘イラã§ã™ã€‚GHCã¯ï¼ˆä¸¦åˆ—性ã«åŠ ãˆã¦ï¼‰ä¸¦è¡Œæ€§ã‚’主è¦ãªç›®çš„ã¨ã—ã¦é•·å¹´é–‹ç™ºã•ã‚Œã¦ãã¾ã—ãŸã€‚ãã®ãŸã‚ã€GHCã«ã¯ã€ 軽é‡ã‚¹ãƒ¬ãƒƒãƒ‰ï¼ˆã‚°ãƒªãƒ¼ãƒ³ã‚¹ãƒ¬ãƒƒãƒ‰ï¼‰ マルãƒã‚³ã‚¢ç”¨ã®è»½é‡ã‚¹ãƒ¬ãƒƒãƒ‰ãƒ»ã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒ© マルãƒã‚³ã‚¢ä¸Šã§ã®åŠ¹çŽ‡çš„ãªãƒ¡ãƒ¢ãƒªã‚¢ãƒã‚±ãƒ¼ã‚¿ マルãƒã‚³ã‚¢ç”¨ã®ã‚¬ãƒ™ãƒ¼ã‚¸ã‚³ãƒ¬ã‚¯ã‚¿ ãªã©ã€ãƒžãƒ«ãƒã‚³ã‚¢ã§ç°¡æ½”ã«ä¸¦è¡Œæ€§ã‚’実ç¾ã™ã‚‹ãŸã‚ã®éƒ¨å“ãŒæƒã£ã¦ã„ã¾ã™ã€‚ãã“ã§ã€Haskell㧠Web サーãƒãªã©ã®ä¸¦è¡Œãƒ—ãƒã‚°ãƒ©ãƒ を書ãã€GHC ã§ã‚³ãƒ³ãƒ‘イルã™ã‚Œã°ã€ãƒžãƒ«ãƒã‚³ã‚¢ç’°å¢ƒã§ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ã®ã‚’期待ã—ãŸããªã‚Šã¾ã™ã€‚ 残念ãªãŒã‚‰ GHC 7.6.3 ã¾ã§ã¯ã€å…¥å‡ºåŠ›ã‚’å¸ã‚‹IOマãƒãƒ¼ã‚¸ãƒ£ã®å®Ÿè£…ã«ãƒœãƒˆ
Async - Cooperative Multitasking for Hack
Sara Golemon Async - Cooperative Multitasking for Hack Posted December 05, 2014 For several months now, Hack has had a feature available called async which enables writing code that cooperatively multitasks. This is somewhat similar to threading, in that multiple code paths are executed in parallel, however it avoids the lock contention issues common to multithreaded code by only actually executin
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Céu - The Programming Language
Project Reactor
haskell-simple-concurrency/src/tutorial.md at master · crabmusket/haskell-simple-concurrency
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