Enter paradis — A new chapter in Rust's parallelism story | Andreas Longva
Rust is a great language for data-parallel problems with relatively simple parallel access patterns. It particularly excels when the data can be split up into contiguous chunks. On the other hand, things can get messy for parallel access patterns that are non-contiguous or less structured. In this post, I will show you an uglier side of parallelism in Rust. Thankfully, it is not a fundamental flaw
1024cores
Hi! My name is Dmitry Vyukov, and I'm going to share here various information about lockfree, waitfree, obstructionfree synchronization algorithms and data structures, scalability-oriented architecture, multicore/multiprocessor design patterns, high-performance computing, threading technologies and libraries (OpenMP, TBB, PPL), message-passing systems and related topics. I'm mostly interested in s
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ã“ã®è¨˜äº‹ã¯CircleCI Advent Calendar 2018ã®24日目ã®è¨˜äº‹ã§ã™ã€‚ テスト分割実行ファンã®çš†ã•ã‚“ã“ã‚“ã«ã¡ã¯ã€‚ 今回ã¯CircleCIã®ä¸¦åˆ—テストã«ãŠã„ã¦ã€ã„ã„æ„Ÿã˜ã«ãƒ†ã‚¹ãƒˆãƒ•ã‚¡ã‚¤ãƒ«ã‚’分割ã™ã‚‹ã“ã¨ã‚’考ãˆã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ã€‚ ã€ã‚¤ãƒ¡ãƒ¼ã‚¸ アニgif】 テストファイルをã„ã„æ„Ÿã˜ã«åˆ†å‰²ã—ãŸã„ ã¾ãšå‰æã¨ã—ã¦ã€ã€Œã„ã„æ„Ÿã˜ã«åˆ†å‰²ã—ãŸã„ã€ã¨ã¯ã©ã†ã„ã†ã“ã¨ã‹ã¨ã„ã†ã“ã¨ã‚’説明ã—ã¾ã™ã€‚ 例ãˆã°ä»Šã€ãƒ†ã‚¹ãƒˆãƒ•ã‚¡ã‚¤ãƒ«ãŒ7個ã‚ã£ã¦ã€ãã‚Œãžã‚Œã®ãƒ†ã‚¹ãƒˆã«ã‹ã‹ã‚‹æ™‚é–“ãŒçµŒé¨“上「10秒ã€6秒ã€5秒ã€4秒ã€3秒ã€2秒ã‹ã‹ã‚‹ã€ã¨ã„ã†ã“ã¨ãŒã‚ã‹ã£ã¦ã„ã‚‹ã¨ã—ã¾ã™ã€‚ ã“ã®å ´åˆã€æ™®é€šã«1プãƒã‚»ã‚¹ã§å®Ÿè¡Œã™ã‚‹ã¨10+6+5+4+3+2ã§30秒ã‹ã‹ã‚Šã¾ã™ã€‚ ã“ã“ã§ã€CircleCIã§parallelism: 3(3並列)ã§åˆ†å‰²ãƒ†ã‚¹ãƒˆã™ã‚‹ã“ã¨ã‚’考ãˆã¾ã™ã€‚ ã¾ãšæ‚ªã„例ã¨ã—ã¦ã€Œ[10, 3], [6, 5], [4, 2]ã€ã¨
OpenAAC
What is OpenACC? The OpenACC Organization is dedicated to helping the research and developer community advance science by expanding their accelerated and parallel computing skills. We have 3 areas of focus: participating in computing ecosystem development, providing training and education on programming models, resources and tools, and developing the OpenACC specification. Learn More #pragma acc d
The Chapel Programming Language
writeln("Hello, world!"); // create a parallel task per processor core coforall tid in 0..<here.maxTaskPar do writeln("Hello from task ", tid); // print these 1,000 messages in parallel using all cores forall i in 1..1000 do writeln("Hello from iteration ", i); // print a message per compute node coforall loc in Locales do on loc do writeln("Hello from locale ", loc.id); // print a message per cor
The X10 Programming Language
The X10 Parallel Programming Language X10 is a statically-typed object-oriented language, extending a sequential core language with places, activities, clocks, (distributed, multi-dimensional) arrays and struct types. All these changes are motivated by the desire to use the new language for high-end, high-performance, high-productivity computing. X10 2.6.2 Released We are happy to announce the rel
GNU Parallel - GNU Project - Free Software Foundation
GNU parallel is a shell tool for executing jobs in parallel using one or more computers. A job can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU parallel can then split the input and pipe
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R ã§è¶…ç°¡å˜ã«ä¸¦åˆ—処ç†ã‚’書ã‘るパッケージ pforeach を作ã£ãŸ - ã»ãã笑む
※ã“ã®è¨˜äº‹ã¯ R Advent Calendar 2014 : ATND ã® 22 日目ã®è¨˜äº‹ã§ã™ã€‚ 0. ã“ã®è¨˜äº‹ã®è¦ç´„ R ã® foreach パッケージを改良ã—ã¦ã€ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§ä¸¦åˆ—計算ã™ã‚‹ã‚ˆã†ã«ã—ãŸãƒ‘ッケージ pforeach を作りã¾ã—ãŸã€‚ pforeach - Easy to parallel processing in R ã“ã‚Œã«ã‚ˆã‚Šã€R ã§ã®ä¸¦åˆ—計算を下記ã®ã‚ˆã†ã«ã‚·ãƒ³ãƒ—ルã«æ›¸ãã“ã¨ãŒã§ãã¾ã™ã€‚ library(pforeach) pforeach(i = 1:100)({ i ** 2 }) ã“ã‚Œã¯ã€å¾“æ¥ã® foreach ã§æ¬¡ã®ã‚ˆã†ã«æ›¸ã„ãŸã‚‚ã®ã¨åŒã˜å‹•ä½œã‚’ã—ã¾ã™ã€‚ library(foreach) library(doParallel) cl <- makeCluster(detectCores()) registerDoParallel(cl) foreach(i = 1
foreachã«ã¤ã„ã¦ã¾ã¨ã‚ãŸã„ - J's blog
foreachパッケージã®foreach関数ã«ã¤ã„ã¦ã§ã™ã€‚ Rã§ä¸¦åˆ—処ç†ã‚’è¡Œã†éš›ã«ä»Šã¾ã§ä½¿ç”¨ã—ã¦ãã¾ã—ãŸãŒã€å¼•æ•°ã¯.combineã‚’ã„ã˜ã‚‹ãらã„ã§ã—ãŸã€‚ä»–ã«ã‚‚%dopar%ã¨ã‹ã‚ˆãã‚ã‹ã‚‰ãªã„ã‚‚ã®ã‚’蔑ã‚ã«ã—ã¦ã„ã¾ã—ãŸã€‚ã“ã®é–¢æ•°ã¯ä»Šå¾Œã‚‚よã使ã†ã“ã¨ã«ãªã‚Šãã†ãªã®ã§ã€é ‘å¼µã£ã¦ã¾ã¨ã‚ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ 基本 基本形ã¨ã—ã¦ã¯ã“ã‚“ãªæ„Ÿã˜ã§ã™ã€‚ foreach(i = 範囲) %do% { -- å‡¦ç† -- } 1~3ã®å¹³æ–¹æ ¹ã®è¨ˆç®—例ãŒä»¥ä¸‹ã«ãªã‚Šã¾ã™ã€‚返り値ã¯ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§listã§ã™ã€‚ > foreach(i = 1:3) %do% { sqrt(i) } [[1]] [1] 1 [[2]] [1] 1.414214 [[3]] [1] 1.732051 イテレータをã“ã“ã§ã¯iã¨ã—ã¦ã„ã¾ã™ãŒã€ã‚‚ã¡ã‚ã‚“aã§ã‚‚bã§ã‚‚okã§ã™ã€‚ã•ã‚‰ã«è¨€ãˆã°ã€ã‚¤ãƒ†ãƒ¬ãƒ¼ã‚¿ã¯2ã¤ä»¥ä¸Šã‚ã£ã¦ã‚‚大丈夫ã§ã€ãã®å ´åˆã¯è¦ç´ æ•°ã®å°‘ãªã„æ–¹ã«
Rã«ãŠã‘る大è¦æ¨¡ãƒ‡ãƒ¼ã‚¿è§£æž(第10回TokyoWebMining)
Presentation document at Tokyo.R meeting on 2nd July 2011. Rã®xts（zoo）パッケージã§æ™‚系列をæŒããŸã‚ã®ãƒŽã‚¦ãƒã‚¦ï¼ˆãƒ‡ãƒ¼ã‚¿ä½œæˆã€ä¾¿åˆ©é–¢æ•°ï¼‰ã‚’紹介。
Intel ISPC & SPH on CPU - primitive: blog
コミケã«å‚åŠ ã—ãŸæ–¹ã€…ã€ãŠç–²ã‚Œæ§˜ã§ã—ãŸã€‚ サイトã®æ–¹ã§ã¯å‘ŠçŸ¥ã—忘れã¦ã„ã¾ã—ãŸãŒ (…) 今回ã¯è½é¸ã§ã—ãŸã€‚次回ã®å†¬ã‚³ãƒŸã¯æ—¢ã«ç”³ã—è¾¼ã¿æ¸ˆã¿ã§ã€å—ã‹ã‚Œã°å‚åŠ ã—ã¾ã™ã€‚牛æ©ã®æ©ã¿ã§ã™ãŒã€æ¥å¹´ 5 月ã¾ã§ã«ã¯ä½•ã‚‰ã‹ã®å½¢ã§å®Œæˆã—ãŸä½œå“を出ã™ã¤ã‚‚ã‚Šã§ã™ã€‚ å‰å›žã®å†¬ã‚³ãƒŸç‰ˆã¯ SPH (æµä½“シム) ã‚’ CUDA ã§å®Ÿè£…ã—ã¦ãŠã‚Šã€ã‚†ãˆã« Radeon ã§ã¯å‹•ã‹ãªã„ã—ã€GeForce ã§ã‚‚ 500 系未満ã ã¨äºˆæƒ³å¤–ã«é…ãã€ã‚¹ãƒšãƒƒã‚¯ã®å·®ã‚’ã©ã†è§£æ±ºã™ã‚‹ã‹ãŒé ãŒç—›ã„å•é¡Œã ã£ãŸã‚“ã§ã™ãŒã€ç¾åœ¨ Intel ISPC ã«ã‚ˆã‚‹ CPU 実装ã§è¡Œã“ã†ã¨ã„ã†æ–¹é‡ã«å®šã¾ã‚Šã¤ã¤ã‚ã‚Šã¾ã™ã€‚ ã“ã® Intel ISPC ãªã‚‹ã‚‚ã®ãŒé¢ç™½ã„ã®ã§ç´¹ä»‹ã€‚ http://ispc.github.com/ GPGPU çš„ãªä¸¦åˆ—プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®æ€æƒ³ã‚’ CPU ã® SIMD ã§å®Ÿç¾ã™ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒ 言語ã§ã™ã€‚SIMD ã®å„è¦ç´ (lane) を実行å˜ä½ã¨è¦‹ç«‹
oreilly.com
New! O’Reilly announces launch of the AI Academy. Read now Introducing the AI Academy Help your entire org put GenAI to work Every employee today needs to know how to prompt GenAI, use it to enhance critical thinking and productivity, and more. With the AI Academy they can. For less. O’Reilly AI-powered Answers just got even smarter O’Reilly Answers instantly generates information teams can trust,
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GitHub - StanfordSNR/gg: The Stanford Builder
ParC
Oops! | The George Washington University
GitHub - chapel-lang/chapel: a Productive Parallel Programming Language
GitHub - MobileNativeFoundation/bluepill: Bluepill is a reliable iOS testing tool that runs UI tests using multiple simulators on a single machine
http://cran.r-project.org/web/packages/doParallel/vignettes/gettingstartedParallel.pdf
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