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manabou id:manabou

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Rubyã®ä¸¦åˆ—ä¸¦è¡Œå‡¦ç†ã®ã“ã‚Œã¾ã§ã¨ã“ã‚Œã‹ã‚‰ - ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰é–‹ç™ºè€…ãƒ–ãƒã‚°
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manabou 2023/08/31
ruby

parallel

thread

gc
ãƒªãƒ³ã‚¯
ä¸¦åˆ—å‡¦ç†ã¨æŽ’ä»–å‡¦ç† - ROBOT PAYMENT TECH-BLOG
ã“ã‚“ã«ã¡ã¯ã€ROBOT PAYMENTã®é–‹ç™ºçµ±æ‹¬å®¤ãƒšã‚¤ãƒ¡ãƒ³ãƒˆã‚·ã‚¹ãƒ†ãƒ èª²ã®taniguchikun ã§ã™ã€‚ ãŸã¾ãŸã¾æ¥å‹™ã§ä¸¦åˆ—å‡¦ç†ã¨æŽ’ä»–å‡¦ç†ã‚’å®Ÿè£…ã™ã‚‹ã“ã¨ã«ãªã£ãŸã®ã§ã€ãã®è¾ºã«ã¤ã„ã¦è¨˜äº‹ã«ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ä¸¦åˆ—å‡¦ç†ã¨ã¯ãªã‚“ãžã‚„ ä¾‹ãˆè©± æŽ’ä»–å‡¦ç† ä»Šå›žã®ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ ãƒŸãƒ¥ãƒ¼ãƒ†ãƒƒã‚¯ã‚¹ ã‚»ãƒžãƒ•ã‚© Locké–¢æ•°ï¼ˆC#è¨€èªžï¼‰ ãƒã‚§ãƒƒã‚¯ãƒã‚¤ãƒ³ãƒˆ é™çš„å¤‰æ•° ã‚µãƒ³ãƒ—ãƒ«ã‚³ãƒ¼ãƒ‰ ãƒŸãƒ¥ãƒ¼ãƒ†ãƒƒã‚¯ã‚¹ã®æŒ™å‹•ç¢ºèª ã‚»ãƒžãƒ•ã‚©ã®æŒ™å‹•ç¢ºèª ãƒãƒƒã‚¯é–¢æ•°ã®æŒ™å‹•ç¢ºèª ä¸¦åˆ—å‡¦ç†ã¨ã¯ãªã‚“ãžã‚„ æã‚‰ãæœ¬è¨˜äº‹ã‚’èªã¾ã‚Œã¦ã„ã‚‹æ–¹ã¯ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®æ–¹ã€…ã ã¨æ€ã„ã¾ã™ãŒã€ä¸€å¿œè»½ãè§£èª¬ã‚’ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ä¸¦åˆ—å‡¦ç†ã¨ã¯è¤‡æ•°ã®å‡¦ç†ã‚’åŒæ™‚ã«è¡Œã†ã¨ã„ã£ãŸã‚‚ã®ã«ãªã‚Šã¾ã™ã€‚ ä¾‹ãˆè©± ä¸Šè¨˜ã§ãƒ”ãƒ³ã¨ãã‚‹æ–¹ã¯èªã¿é£›ã°ã—ã¦ã„ãŸã ã„ã¦å•é¡Œãªã„ã§ã™ã€‚ ä¸€èˆ¬ã®æ–¹ã§ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã—ãŸã“ã¨ãŒãªã„æ–¹ã§ã™ã¨ä¾‹ãˆè©±ã§èª¬æ˜Žã—ãŸæ–¹ãŒãƒ”ãƒ³ã¨ãã‚‹ã‚‚ã®ãŒã‚ã‚‹ã¨æ€ã†ã®ã§ã€ç¾å®Ÿä¸–ç•Œã®ãƒã‚¹ã«ä¾‹ãˆãŸã„ã¨æ€ã„
manabou 2022/10/28
parallel

concurrency

concurrent

programming

robot

development
ãƒªãƒ³ã‚¯
GitHub - kaityo256/sevendayshpc: ä¸€é€±é–“ã§ãªã‚Œã‚‹ï¼ã‚¹ãƒ‘ã‚³ãƒ³ãƒ—ãƒã‚°ãƒ©ãƒž
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manabou 2021/01/12
programming

hpc

parallel

mpi

simd

numa
ãƒªãƒ³ã‚¯
ãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰ãƒ»ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®é“å…·ç®±
ã¾ãˆãŒã ã‚¯ãƒ©ã‚¦ãƒ‰ä¸Šã®ä»®æƒ³ã‚µãƒ¼ãƒã‹ã‚‰æ‰‹å…ƒã®ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã¾ã§ã€ã„ã¾ã‚„è¤‡æ•°ã®CPUã‚³ã‚¢ã‚’æè¼‰ã™ã‚‹ãƒžãƒ«ãƒã‚³ã‚¢ã¯ã©ã“ã«ã§ã‚‚ã‚ã‚‹ç’°å¢ƒã«ãªã‚Šã¾ã—ãŸã€‚ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢å´ãŒä¸¦åˆ—(Parallel)ãƒ»ä¸¦è¡Œ(Concurrent)å‡¦ç†ã«å‘ã‘ã¦æ€¥é€Ÿã«é€²åŒ–ã™ã‚‹ä¸€æ–¹ã§ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢å´ã¤ã¾ã‚Šãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã®é€²åŒ–ã¯ã•ã»ã©è¿½ã„ä»˜ã„ã¦ã„ã¾ã›ã‚“ã€‚ä¸¦è¡Œå‡¦ç†è¨˜è¿°ã®æ‰‹è»½ã•ã‚’æ±‚ã‚ãŸ Goè¨€èªž ã‚„ã€ãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰å‡¦ç†ã®å®‰å…¨æ€§ã‚’é‡è¦–ã™ã‚‹ Rustè¨€èªž ãªã©ãŒç™»å ´ã—ã¦ã¯ã„ã‚‹ã‚‚ã®ã®ã€ã€Œæ™®é€šã«ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’è¨˜è¿°ã™ã‚‹ã ã‘ã§è¤‡æ•°CPUã‚³ã‚¢ç’°å¢ƒã§é«˜é€Ÿã«èµ°ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã€ã¯é ã„å¤¢ç‰©èªžã®ã¾ã¾ã§ã™ã€‚ ãƒ¢ãƒ€ãƒ³ãªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã‚„ä¸¦åˆ—ãƒ»ä¸¦è¡Œå‡¦ç†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã¯ã€è¤‡é›‘ã§é›£è§£ãªãƒžãƒ«ãƒã‚¹ãƒ¬ãƒƒãƒ‰å‡¦ç†ã‚’ç›´æŽ¥è¨˜è¿°ã—ãªãã¦ã™ã‚€ã‚ˆã†ã€å®‰å…¨æ€§ãƒ»åˆ©ä¾¿æ€§ã®é«˜ã„æŠ½è±¡åŒ–ãƒ¬ã‚¤ãƒ¤ã‚’æä¾›ã—ã¾ã™ï¼ˆä¾‹ï¼šGoè¨€èªžã®goroutineã¨channelã€Rustè¨€èªžã® Rayonãƒ©ã‚¤ãƒ–ãƒ©ãƒªï¼‰ã€‚ã—
manabou 2020/09/28
multithread

parallel

golang

concurrency
ãƒªãƒ³ã‚¯
åœ§ç¸®ãƒ•ã‚¡ã‚¤ãƒ«ã®å±•é–‹é€Ÿåº¦ã‚’æœ€å¤§1ä¸‡å€è¶…é«˜é€ŸåŒ–ã™ã‚‹ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’åºƒå³¶å¤§ãŒè€ƒæ¡ˆ
åºƒå³¶å¤§å¦ã¯8æœˆ31æ—¥ã€å¯Œå£«é€šç ”ç©¶æ‰€ã¨å…±åŒã§ã€å¤šãã®ãƒ‡ãƒ¼ã‚¿åœ§ç¸®æ–¹å¼ã§æŽ¡ç”¨ã•ã‚Œã¦ã„ã‚‹ã€Œãƒãƒ•ãƒžãƒ³ç¬¦å·ã€ã®ä¸¦åˆ—å±•é–‹å‡¦ç†ã‚’é«˜é€ŸåŒ–ã™ã‚‹æ–°ã—ã„ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã€Œã‚®ãƒ£ãƒƒãƒ—é…åˆ—ã€ã‚’è€ƒæ¡ˆã—ãŸã“ã¨ã‚’ç™ºè¡¨ã—ãŸã€‚NVIDAã®GPUã€ŒTesla V100ã€ã‚’ç”¨ã„ã¦å®Ÿé¨“ã—ãŸçµæžœã€å¾“æ¥ã®æœ€é€Ÿå±•é–‹ãƒ—ãƒã‚°ãƒ©ãƒ ã¨æ¯”è¼ƒã—ã¦ã€2.5å€ã‹ã‚‰1ä¸‡1000å€ã®é«˜é€ŸåŒ–ã‚’é”æˆã§ããŸã¨ã—ã¦ã„ã‚‹ã€‚ åŒæˆæžœã¯ã€åŒå¤§å¦å¤§å¦é™¢å…ˆé€²ç†å·¥ç³»ç§‘å¦ç ”ç©¶ç§‘ã®ä¸é‡Žæµ©å—£æ•™æŽˆã‚‰ã®å…±åŒç ”ç©¶ãƒãƒ¼ãƒ ã«ã‚ˆã‚‹ã‚‚ã®ã€‚è©³ç´°ã¯ã€2020å¹´8æœˆã«é–‹å‚¬ã•ã‚ŒãŸå›½éš›ä¼šè°ã€ŒInternational Conference on Parallel Processing (ICPP)ã€ã«ãŠã„ã¦ç™ºè¡¨ã•ã‚Œã€269ä»¶ã®æŠ•ç¨¿è«–æ–‡ã®ä¸ã‹ã‚‰æœ€å„ªç§€è«–æ–‡è³žã«é¸ã°ã‚ŒãŸã€‚ ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆã‚’ä»‹ã—ã¦å¤šæ•°ã®ç”»åƒãƒ•ã‚¡ã‚¤ãƒ«ã‚„å‹•ç”»ãƒ•ã‚¡ã‚¤ãƒ«ãªã©ã‚’è»¢é€ã—ãŸã‚Šã€ã¾ãŸè¨˜éŒ²ãƒ¡ãƒ‡ã‚£ã‚¢ã«ä¿å˜ã—ãŸã‚Šã™ã‚‹éš›ã€ãƒ‡ãƒ¼ã‚¿ã®åœ§ç¸®ã¯èª°ã§ã‚‚æ—¥å¸¸çš„ã«è¡Œã£ã¦ã„ã‚‹ã€‚ã
manabou 2020/09/03
compression

performance

algorithm

gpu

parallel
ãƒªãƒ³ã‚¯
ä¸¦åˆ—ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°å‡¦ç†ç³»Pelemayã®â€¨ARMã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã¨â€¨IoTãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ Nervesã¸ã®é©ç”¨
è¿‘å¹´ã§ã¯IoTã§ã‚¨ãƒƒã‚¸ï¼ãƒ•ã‚©ã‚°ãƒ»ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã‚’è¡Œã†äº‹ä¾‹ãŒå¢—ãˆã¦ãã¦ãŠã‚Šï¼ŒIoTã«ã‚‚è¨ˆç®—ãƒ‘ãƒ¯ãƒ¼ãŒæ±‚ã‚ã‚‰ã‚Œã‚‹ã‚ˆã†ã«ãªã£ã¦ãã¦ã„ã‚‹ï¼Žãã“ã§ï¼Œè¿‘å¹´ï¼Œã‚¢ãƒ¡ãƒªã‚«ã‚’ä¸å¿ƒã«æ³¨ç›®ã‚’é›†ã‚ã¦ã„ã‚‹é–‹ç™ºãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ Nervesã¨ï¼Œæˆ‘ã€…ãŒç ”ç©¶é–‹ç™ºã‚’é€²ã‚ã¦ã„ã‚‹ä¸¦åˆ—å‡¦ç†ãƒã‚¤ãƒ†ã‚£ãƒ–ã‚³ãƒ¼ãƒ‰ç”Ÿæˆç³»ã§ã‚ã‚‹ Pelemay Superâ€¦
manabou 2020/06/28
arm

slide

parallel

concurrency

concurrent

cpu
ãƒªãƒ³ã‚¯
GitHub - aws/aws-parallelcluster: AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
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manabou 2020/02/25
aws

parallel

cluster
ãƒªãƒ³ã‚¯
WebGLã§æš´åŠ›çš„ãªä¸¦åˆ—ã‚½ãƒ¼ãƒˆã«æŒ‘æˆ¦ã™ã‚‹
æ—¥ç…§æ™‚é–“è¶³ã‚Šã¦ã¾ã™ã‹ï¼Ÿã‚„ã¾ã ã§ã™ã€‚ KLab Advent Calender 11æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ æœ€è¿‘WebGLã§å®Ÿè£…ã§ãã‚‹ã¡ã‚‡ã£ã¨å¼·ãã†ãªã‚½ãƒ¼ãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’çŸ¥ã£ãŸã®ã§æ›¸ã„ã¦ã¿ã¾ã—ãŸã€‚ WebGLã‚ˆãã‚ã‹ã‚“ãªã„ã‚„ãƒ¼ã£ã¦äººã‚‚é›°å›²æ°—ã ã‘ã§ã‚‚ä¼ã‚ã‚Œã°å¹¸ã„ã§ã™ã€‚ å¼·ã•ã®ç§˜è¨£ WebGLã¯3Dã‚’æãAPIã¨ã—ã¦è‘—åã§ã™ãŒã€2Dã¯ã‚‚ã¡ã‚ã‚“ã€å·¥å¤«æ¬¡ç¬¬ã§æ±Žç”¨è¨ˆç®—ï¼ˆGPGPUï¼‰ã«ã‚‚å¿œç”¨ã§ãã¾ã™ã€‚ WebGLã§ã®æ¼”ç®—ã¯é€šå¸¸ã®JavaScriptæ¼”ç®—ã¨ã¯é•ã„ã€GPUã‚’ä½¿ã£ãŸä¸¦åˆ—ãªæµ®å‹•å°æ•°ç‚¹æ¼”ç®—ã‚’å¯èƒ½ã¨ã—ã¾ã™ã€‚ ãã—ã¦ã€ã‚½ãƒ¼ãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ä¸ã«ã¯è¨ˆç®—é‡ã“ãåœ°å‘³ãªã‚‚ã®ã®ã€ä¸¦åˆ—å‡¦ç†ãŒå¯èƒ½ãªã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚ ãã®ã†ã¡ã®ä¸€ã¤ãŒãƒã‚¤ãƒˆãƒ‹ãƒƒã‚¯ã‚½ãƒ¼ãƒˆã§ã™ã€‚ GPUã‚’ä½¿ã„ã€ç‰©é‡ã§è¨ˆç®—ã™ã‚‹æš´åŠ›çš„ãªä¸¦åˆ—ã‚½ãƒ¼ãƒˆã‚’ã‚„ã£ã¦ã„ãã¾ã—ã‚‡ã†ã€‚ ãƒã‚¤ãƒˆãƒ‹ãƒƒã‚¯ã‚½ãƒ¼ãƒˆã¨ã¯ å‰è¿°ã®ã¨ãŠã‚Šã€ä¸¦åˆ—å‡¦ç†ãŒå¯èƒ½ãªã‚½ãƒ¼ãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã§ã™ã€‚ é…åˆ—ã‚’å°ã•ã„é ˜åŸŸã«
manabou 2018/09/27
webgl

sort

parallel
ãƒªãƒ³ã‚¯
Parallel and Thread-Safe Ruby at High-Speed with TruffleRuby
These are the slides of my keynote at RubyKaigi 2018: http://rubykaigi.org/2018/presentations/eregontp.html#jun02 Array and Hash are used in every Ruâ€¦
manabou 2018/06/02
parallel

thread

slide

ruby

performance
ãƒªãƒ³ã‚¯
PostgreSQL v11æ–°æ©Ÿèƒ½å…ˆå–ã‚Šï¼šHash-Partitioningã¨Parallel-Append - KaiGaiã®ä¿ºãƒ¡ãƒ¢
ä»Šå›žã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã¯ PostgreSQL Advent Calendar 2017 - Qiita ã«å‚åŠ ã—ã¦ã„ã¾ã™ã€‚ PG-Stromã®è¦–ç‚¹ã‹ã‚‰ã‚‚ã€PostgreSQL v11ã«ã¯é¦–ã‚’é•·ãã—ã¦å¾…ã£ã¦ã„ãŸæ©Ÿèƒ½ãŒ2ã¤å…¥ã£ã¦ã„ã‚‹ã€‚ ãã®ï¼‘ï¼šHash-Partitioning github.com ãã®ï¼’ï¼šParallel-Append github.com Hash-Partitioningã¨ã„ã†ã®ã¯ã€PostgreSQL v10ã§è¿½åŠ ã•ã‚ŒãŸãƒ†ãƒ¼ãƒ–ãƒ«ãƒ‘ãƒ¼ãƒ†ã‚£ã‚·ãƒ§ãƒ‹ãƒ³ã‚°æ©Ÿèƒ½ã®æ‹¡å¼µã§ã€æ—¥ä»˜æ™‚åˆ»ãªã©ã®å¹…ï¼ˆRangeï¼‰ã§ãƒ‘ãƒ¼ãƒ†ã‚£ã‚·ãƒ§ãƒ³åŒ–ã‚’è¡Œã†ã®ã§ã¯ãªãã€ãƒ¬ã‚³ãƒ¼ãƒ‰ã®å€¤ã‚’ãƒãƒƒã‚·ãƒ¥é–¢æ•°ã«é€šã—ã¦å¾—ã‚‰ã‚ŒãŸå€¤ã‚’å…ƒã«ã€æŒ¯ã‚Šåˆ†ã‘ã‚‹å…ˆã®åãƒ†ãƒ¼ãƒ–ãƒ«ã‚’é¸æŠžã—ã¦æ›¸ãè¾¼ã¿ã‚’è¡Œã†ã¨ã„ã†ã‚‚ã®ã€‚ ç‰¹å¾´ã¨ã—ã¦ã¯ã€ãƒ‡ãƒ¼ã‚¿ã®æ¯é›†å›£ãŒç‰¹ç•°ãªã‚‚ã®ã§ãªã„é™ã‚Š*1ã€å„åãƒ†ãƒ¼ãƒ–ãƒ«ã¸ã®æ›¸è¾¼ã¿ã¯å‡ç‰ã«å¹³æº–åŒ–ã•ã‚Œã‚‹ã“ã¨ã«ãªã‚‹ã€‚ã“ã‚Œã¯å¾Œã§èª¬æ˜Žã™ã‚‹é€šã‚Šã€åãƒ†
manabou 2017/12/25
postgresql

hash

parallel
ãƒªãƒ³ã‚¯
Is Parallel Programming still hard?
manabou 2017/12/08
parallel

cpp

youtube
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IPython clusterã«ã‚ˆã‚‹ãƒã‚«ãƒ‘ãƒ©ï¼ˆåˆ†æ•£ä¸¦åˆ—å‡¦ç†ï¼‰ - Qiita
åˆ†æ•£ä¸¦åˆ—å‡¦ç†ã®åŸºæœ¬ã‹ã¤å¼·åŠ›ãªã‚¢ãƒ—ãƒãƒ¼ãƒã¨ã—ã¦ï¼ŒSingle Program Multiple Data (SPMD) ãŒã‚ã‚Šã¾ã™ï¼Žã“ã‚Œã¯ï¼Œè¤‡æ•°ã®ãƒ—ãƒã‚»ãƒƒã‚µãŒåŒä¸€ã®ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’å®Ÿè¡Œã—ï¼Œãã®éš›ã«å„ãƒ—ãƒã‚»ãƒƒã‚µã¯åˆ¥ã€…ã®ãƒ‡ãƒ¼ã‚¿ã‚’å‡¦ç†ã™ã‚‹ï¼Œã¨ã„ã†ãƒ¢ãƒ‡ãƒ«ã§ã™ï¼Žå¤§è¦æ¨¡ãªãƒ‡ãƒ¼ã‚¿ã‚’ç‹¬ç«‹ã§å‡¦ç†ã§ãã‚‹å˜ä½ã«åˆ†å‰²ã—ï¼Œå°åˆ†ã‘ã®ãƒ‡ãƒ¼ã‚¿ã‚’è¤‡æ•°ã®ãƒ—ãƒã‚»ãƒƒã‚µã§ä¸¦åˆ—ã«å‡¦ç†ã™ã‚‹ã“ã¨ã§ï¼Œãƒ‡ãƒ¼ã‚¿å…¨ä½“ã®å‡¦ç†æ™‚é–“ã‚’å¤§å¹…ã«çŸç¸®ã§ãã¾ã™ï¼Ž ä¾‹ãˆã°ï¼Œa01.txt, a02.txt, a03.txt, a04.txtã‚’å…¥åŠ›ãƒ•ã‚¡ã‚¤ãƒ«ã¨ã—ã¦jobã¨ã„ã†ã‚³ãƒžãƒ³ãƒ‰ã‚’å®Ÿè¡Œã—ï¼Œå®Ÿè¡Œçµæžœï¼ˆå‡ºåŠ›ï¼‰ã‚’ãã‚Œãžã‚Œï¼Œb01.txt, b02.txt, b03txt, b04.txtã«æ ¼ç´ã™ã‚‹ã“ã¨ã‚’è€ƒãˆã¾ã™ï¼Žæ¬¡ã®ã‚³ãƒ¼ãƒ‰ã¯ï¼Œã“ã®å‡¦ç†ã‚’bashã‚·ã‚§ãƒ«ã‚¹ã‚¯ãƒªãƒ—ãƒˆã§å®Ÿç¾ã™ã‚‹ã‚‚ã®ã§ã™ï¼Ž ã“ã®forãƒ«ãƒ¼ãƒ—å†…ã®å‡¦ç†å†…å®¹ã¯äº’ã„ã«ç‹¬ç«‹ã§ã™ã®ã§ï¼Œå®¹æ˜“ã«ä¸¦åˆ—åŒ–ã§ãã¾ã™ã—ï¼Œå…¨ä½“ã«è¦ã™ã‚‹å‡¦ç†æ™‚
manabou 2017/10/31
ipython

parallel

python

development

cluster

bakapara

pbs

mpi

ec2
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Offloading & CUDA: Parallelism in C++ #3/3 (also OpenMP, OpenACC, GPU & Coprocessors like Xeon Phi)
Computer programs can be made faster by making them do many things simultaneously. Letâ€™s study three categorical ways to accomplish that in GCC. In the third episode, we study ways to offload code to various accelerators such as GPU on a graphics card. We also explore CUDA. The previous episode can be found at: https://www.youtube.com/watch?v=MfEkOcMILDo As a plot device in this tool-assisted ed
manabou 2017/10/18
youtube

cuda

parallel

c++

openmpi

openacc

gpu
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GitHub - IntelPython/sdc: Numba extension for compiling Pandas data frames, IntelÂ® Scalable Dataframe Compiler
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manabou 2017/10/17
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python

hpat

parallel

numpy

mpi

numba

llvm
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selenium gridã‚„jenkinsã‚’è¿”ã•ãšå˜ä½“ã®ã‚³ãƒ¼ãƒ‰ã®ã¿ã§è¤‡æ•°ã®driverã‚’ä¸¦åˆ—å®Ÿè¡Œ | katsulog
è¤‡æ•°ã®driverã‚’ä¸€æ°—ã«ç«‹ã¡ä¸Šã’ã‚‹ è¤‡æ•°ã®driverã‚’å®£è¨€ã™ã‚‹ã®ã«ã¯æ™®é€šã«è€ƒãˆã‚‹ã¨ä»¥ä¸‹ã®ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ driver1 = Selenium::WebDriver.for :chrome driver2 = Selenium::WebDriver.for :chrome driver3 = Selenium::WebDriver.for :chrome driver4 = Selenium::WebDriver.for :chrome driver5 = Selenium::WebDriver.for :chrome driver6 = Selenium::WebDriver.for :chrome driver7 = Selenium::WebDriver.for :chrome driver8 = Selenium::WebDriver.for :chrome driver9 =
manabou 2017/10/06
selenium

grid

seleniumgrid

jenkins

driver

test

parallel
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SIMD and Vectorization: Parallelism in C++ #1/3 (multitasking on single core)
manabou 2017/06/21
parallel

youtube

c++
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Jenkins Pipeline ãƒ¡ãƒ¢ - Qiita
[Pipeline] parallel [Pipeline] [a] { (Branch: a) [Pipeline] [b] { (Branch: b) [Pipeline] [a] node [Pipeline] [b] node [a] Running on master in /var/lib/jenkins/jobs/pipeline-test/workspace [Pipeline] [a] { [b] Running on master in /var/lib/jenkins/jobs/pipeline-test/workspace@2 [Pipeline] [a] echo [a] /var/lib/jenkins/jobs/pipeline-test/workspace [Pipeline] [a] } [Pipeline] [b] { [Pipeline] [a] //
manabou 2017/06/02
jenkins

pipeline

parallel
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ã‚·ã‚§ãƒ«ã‚¹ã‚¯ãƒªãƒ—ãƒˆã§å˜ç´”ã«ä¸¦åˆ—å®Ÿè¡Œãƒ»ç›´åˆ—å®Ÿè¡Œã‚’è¡Œã† - Qiita
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manabou 2017/05/25
shell

parallel

concurrent

bash
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Thread Safety Analysis â€” Clang 21.0.0git documentation
Thread Safety AnalysisÂ¶ IntroductionÂ¶ Clang Thread Safety Analysis is a C++ language extension which warns about potential race conditions in code. The analysis is completely static (i.e. compile-time); there is no run-time overhead. The analysis is still under active development, but it is mature enough to be deployed in an industrial setting. It is being developed by Google, in collaboration wit
manabou 2017/03/31
concurrency

concurrent

parallel

thread

llvm

compiler

debug
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MITãŒä¸¦åˆ—ãƒ—ãƒã‚°ãƒ©ãƒ ã®æœ€é©åŒ–æ”¹å–„ã®ãŸã‚ã«LLVMã®IRã‚’æ‹¡å¼µ
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
manabou 2017/02/17
llvm

parallel

concurrent
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