[B! parallel] lizyã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

lizy id:lizy

parallelã«é–¢ã™ã‚‹lizyã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (36)

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lizy 2018/02/26
parallel

ä¸¦åˆ—å‡¦ç†

elixir

performance

golang

scala

c#
ãƒªãƒ³ã‚¯
C++1z ä¸¦åˆ—ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒ©ã‚¤ãƒ–ãƒ©ãƒª - Faith and Brave - C++ã§éŠã¼ã†
C++1zã§ã¯ã€ä¸¦åˆ—ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãŒå°Žå…¥ã•ã‚Œã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚ã“ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã¯ã€<algorithm>, <numeric>, <memory>ã§å®šç¾©ã•ã‚Œã‚‹ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®ã‚ªãƒ¼ãƒãƒ¼ãƒãƒ¼ãƒ‰ã¨ã„ã†å½¢ã§æä¾›ã•ã‚Œã¾ã™ã€‚ using namespace std::execution; // å®Ÿè¡Œãƒãƒªã‚·ãƒ¼ã®åå‰ç©ºé–“ std::vector<int> v = â€¦ std::sort(v.begin(), v.end()); // ã“ã‚Œã¾ã§é€šã‚Šã®é †åºå®Ÿè¡Œ std::sort(seq, v.begin(), v.end()); // æ˜Žç¤ºçš„ã«é †åºå®Ÿè¡Œã‚’æŒ‡å®š std::sort(par, v.begin(), v.end()); // ä¸¦åˆ—å®Ÿè¡Œã‚’è¨±å¯ std::sort(par_unseq, v.begin(), v.end()); // ä¸¦åˆ—and/orãƒ™ã‚¯ãƒˆãƒ«å®Ÿè¡Œã‚’è¨±å¯ ã“ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã®è¨è¨ˆã¯ã€
lizy 2016/10/04
c++

c++1z

parallel
ãƒªãƒ³ã‚¯
ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚·ã‚¹ãƒ†ãƒ ã®æ¦‚å¿µã¨åŽŸç†
3. è¬›ç¾©å†…å®¹ ï® åºè«– - ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å‰ã« ï® ä¸¦åˆ—å‡¦ç†ã®åŸºç¤Ž ï® ï® ä¸¦åˆ—å‡¦ç†ã®Terminology ä¸¦åˆ—è¨ˆç®—æ©Ÿã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ ï® ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ ï® ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å‡¦ç†ã®ä¸¦åˆ—åŒ– ï® çµåˆå‡¦ç†ã®é«˜é€ŸåŒ– ï® ï® ï® ï® ä¸¦åˆ—ãƒãƒƒã‚·ãƒ¥çµåˆ ä¸¦åˆ—ã‚½ãƒ¼ãƒˆ ãƒ‘ãƒ¼ãƒ†ã‚£ã‚·ãƒ§ãƒ‹ãƒ³ã‚°æ‰‹æ³• å¤šé‡çµåˆã‚„è¨ˆç®—æ©Ÿé–“ã®ãƒ‡ãƒ¼ã‚¿äº¤æ›ã§ç™ºç”Ÿã™ã‚‹å•é¡Œ ï® MapReduceã«ã‚ˆã‚‹é–¢ä¿‚æ¼”ç®—ã®ä¸¦åˆ—å‡¦ç† 3 4. ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹é–‹ç™ºã®æµã‚Œ ï® Coddã®è«–æ–‡: 1970å¹´ ï® ï® ï® ï® System Rã‚„Ingres: 70å¹´ä»£ä¸ç›¤ Oracle, IBM DB2, Ingres: 80å¹´ä»£åºç›¤ ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®éš†ç››: 80å¹´ä»£å¾ŒåŠ ï® ï® A Relational Model of Data for Large Shared Data Banks, Communications of ACM å•†ç”¨
lizy 2014/02/02
database

mapreduce

bigdata

parallel

concurrent
ãƒªãƒ³ã‚¯
ãƒã‚°ã‹ã‚‰å¦ã¶è¨ˆç®—æ©Ÿç§‘å¦ Scalaã®ãƒãƒƒã‚·ãƒ¥ãƒ†ãƒ¼ãƒ–ãƒ«ã«ãŠã„ã¦ä¸¦åˆ—ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã®ãŸã‚ã®ã‚³ãƒ¼ãƒ‰å¤‰æ›´ãŒå¤§é‡ã®è¡çªã‚’å¼•ãèµ·ã“ã—ãŸäº‹ä¾‹
ãƒã‚°ã‹ã‚‰å¦ã¶è¨ˆç®—æ©Ÿç§‘å¦ Scalaã®ãƒãƒƒã‚·ãƒ¥ãƒ†ãƒ¼ãƒ–ãƒ«ã«ãŠã„ã¦ä¸¦åˆ—ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã®ãŸã‚ã®ã‚³ãƒ¼ãƒ‰å¤‰æ›´ãŒå¤§é‡ã®è¡çªã‚’å¼•ãèµ·ã“ã—ãŸäº‹ä¾‹ æ›¸ã„ãŸäºº: ã‚‹ã¨ æ›¸ã„ãŸæ—¥: 2012å¹´1æœˆ21æ—¥ ã¯ã˜ã‚ã« Twitterã§ã€Œæœ‰åãªã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã‚½ãƒ•ãƒˆã§ä»Šã¾ã§ã‚ã£ãŸãŠã‚‚ã—ã‚ã„ãƒã‚°ã‚’è§£èª¬ã—ãŸæœ¬ã¨ã‹ãªã„ã ã‚ã†ã‹ã€ã¨ãƒ„ã‚¤ãƒ¼ãƒˆã—ãŸã‚‰ãã‚Œãªã‚Šã«éœ€è¦ãŒã‚ã‚‹ã‚ˆã†ã§ã—ãŸã€‚ãã“ã§å…ˆãšéš—ã‚ˆã‚Šå§‹ã‚ã‚ˆã¨ã„ã†æ•…äº‹ã«ã®ã£ã¨ã‚Šã€æ»é¦¬ã®éª¨ã¨ã—ã¦ãƒã‚°è§£èª¬è¨˜äº‹ã‚’æ›¸ã„ã¦ã¿ã¾ã™ã€‚ ä»Šå›žã®ãƒã‚°ã¯Scala 2.9ã®æ¨™æº–ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«å«ã¾ã‚Œã‚‹mutable.HashSet(ãƒãƒƒã‚·ãƒ¥ãƒ†ãƒ¼ãƒ–ãƒ«ã‚’ä½¿ã£ãŸé‡è¤‡ç„¡ã—ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³)ã®ã‚³ãƒ”ãƒ¼ãŒJavaã®æ¨™æº–ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«å«ã¾ã‚Œã‚‹HashSetã®100å€é…ã„ã¨ã„ã†ãƒã‚°ã§ã™ã€‚ä¸¦åˆ—ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã®ãŸã‚ã«ã±ã£ã¨è¦‹å•é¡Œã®ç„¡ã„å¤‰æ›´ã‚’åŠ ãˆãŸã‚‰æ€ã‚ã¬ã¨ã“ã‚ã§å½±éŸ¿ãŒå‡ºãŸã¨ã„ã†ã‚‚ã®ã§ã™ã€‚ ãªãŠã€ä»Šå›žã¯Scalaã«é–¢ã™ã‚‹ãƒã‚°ã§ã™ãŒã€Scalaã«
lizy 2012/01/22
ã‚ã‚“ã¾ã—å†…å®¹ã«ã¯é–¢ä¿‚ãªã„ã‘ã©ã€Œparã¨ã„ã†ãƒ¡ã‚½ãƒƒãƒ‰ã‚’æŒŸã‚€ã ã‘ã§å„è¦ç´ ã‚’ä¸¦åˆ—ã«å‡¦ç†ã™ã‚‹ã‚³ãƒ¬ã‚¯ã‚·ãƒ§ãƒ³ã«ãªã‚Šã¾ã™ã€ã“ã†ã„ã†å±€æ‰€çš„ãªã‚‚ã®ã¯åŠ¹æžœã‚ã‚‹ã‚“ã ã‚ã†ã‹

scala

parallel

java

ä¸¦åˆ—å‡¦ç†
ãƒªãƒ³ã‚¯
.NET 4.5ã«ãŠã‘ã‚‹Task Parallel Libraryã®æ”¹å–„
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¤‰...
lizy 2011/12/09
.netã¯é€²åŒ–ã—ç¶šã‘ã¦ã‚‹ãª

.net

programming

parallel
ãƒªãƒ³ã‚¯
ãƒ¢ãƒ€ãƒ³ä¸¦åˆ—ãƒ»ä¸¦è¡Œãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° ï½ž Concurrent Revisions ã«ã‚ˆã‚‹å®Ÿè£…ã¨ç¾å®Ÿ ï½ž - Preferred Networks Research & Development
æœ¬æ—¥ç¤¾å†…å‘ã‘ã®TechTalkã«ã¦ã€ä¸¦åˆ—ãƒ»ä¸¦è¡Œãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã«é–¢ã™ã‚‹è©±ã‚’è¡Œã„ã¾ã—ãŸã€‚ æ˜¨ä»Šã€ãƒ—ãƒã‚°ãƒ©ãƒ ã®ä¸¦åˆ—åŒ–ã¯ãªãã¦ã¯ãªã‚‰ãªã„ã‚‚ã®ã¨ãªã£ã¦ã„ã¾ã™ã€‚ã—ã‹ã—ã€ãã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ç’°å¢ƒã¯ä¾ç„¶ã¨ã—ã¦ãƒãƒƒã‚¯ã‚’ç”¨ã„ãŸã‚‚ã®ãŒä¸»æµã§ã™ã€‚ä»Šå›žã®ç™ºè¡¨ã®ä¸»å¼µã‚’ç«¯çš„ã«ç”³ã—ä¸Šã’ã¾ã™ã¨ã€ â€œLocks must goï¼â€ ã¨ã„ã†ã“ã¨ã«ãªã‚Šã¾ã™ã€‚ä¸¦åˆ—ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã«éŠ€ã®å¼¾ä¸¸ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚ã—ã‹ã—ã€ãƒãƒƒã‚¯ã¯åˆ¥ã®ä½•ã‚‰ã‹ã®å®‰å…¨æ€§ã‚’ç¢ºä¿ã—ãŸãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ãƒ¢ãƒ‡ãƒ«ã§ç½®ãæ›ãˆã‚‰ã‚Œãªã‘ã‚Œã°ã„ã‘ã¾ã›ã‚“ã€‚ãã†ã§ãªã‘ã‚Œã°ã€å†ç¾ã—ã«ãã„ãƒã‚°ã«è‹¦ã—ã‚ã‚‰ã‚Œã€çµ‚é›»ã‚’é€ƒã™æ—¥ã€…ã¨æ±ºåˆ¥ã™ã‚‹ã“ã¨ã¯ã§ããªã„ã§ã—ã‚‡ã†ã€‚ã¾ãŸã€ãƒãƒƒã‚¯ã«ã‚ˆã‚‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®æŠ±ãˆã‚‹æœ¬è³ªçš„å•é¡Œã«ã‚‚è¨€åŠã—ã¦ã„ã¾ã™ã€‚ ã“ã®ç•Œéšˆã®æœ€æ–°ã®å‹•å‘ã¨ã—ã¦ã€åŽ»å¹´OOPSLAâ€™10ã«ã¦ç™ºè¡¨ã•ã‚ŒãŸConcurrent Revisionsã«ã¤ã„ã¦ã®è§£èª¬ã‚‚è¡Œãªã£ã¦ãŠã‚Šã¾ã™ã€‚ã¾ãŸã€å¼Šç¤¾ç ”ç©¶é–‹ç™ºã«ãŠã„ã¦ã€å…ˆæ—¥Con
lizy 2011/10/20
parallel

concurrent

programming

c++
ãƒªãƒ³ã‚¯
ä¸¦åˆ—ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° - .NET ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ä¸¦åˆ—å‡¦ç†ã«ã¤ã„ã¦ã®éŽåŽ»ã€ç¾åœ¨ã€æœªæ¥
ã“ã®ãƒ–ãƒ©ã‚¦ã‚¶ãƒ¼ã¯ã‚µãƒãƒ¼ãƒˆã•ã‚Œãªããªã‚Šã¾ã—ãŸã€‚ Microsoft Edge ã«ã‚¢ãƒƒãƒ—ã‚°ãƒ¬ãƒ¼ãƒ‰ã™ã‚‹ã¨ã€æœ€æ–°ã®æ©Ÿèƒ½ã€ã‚»ã‚ãƒ¥ãƒªãƒ†ã‚£æ›´æ–°ãƒ—ãƒã‚°ãƒ©ãƒ ã€ãŠã‚ˆã³ãƒ†ã‚¯ãƒ‹ã‚«ãƒ« ã‚µãƒãƒ¼ãƒˆã‚’åˆ©ç”¨ã§ãã¾ã™ã€‚ .NET ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ä¸¦åˆ—å‡¦ç†ã«ã¤ã„ã¦ã®éŽåŽ»ã€ç¾åœ¨ã€æœªæ¥ Stephen Toub éŽåŽ»ã®ä¸¦åˆ—å‡¦ç† ã‚¹ãƒ¬ãƒƒãƒ‰ã®ç›´æŽ¥æ“ä½œã¯ã€å¿œç”æ€§ã®é«˜ã„ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆ ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã€ä¸¦åˆ—ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã€ãŠã‚ˆã³ã‚¹ã‚±ãƒ¼ãƒ©ãƒ–ãƒ«ãªã‚µãƒ¼ãƒãƒ¼ã‚’å®Ÿç¾ã™ã‚‹ãŸã‚ã«ã€ä»¥å‰ã‹ã‚‰é–‹ç™ºè€…ãŒæŽ¡ç”¨ã—ã¦ã„ã‚‹æ–¹æ³•ã§ã™ã€‚ã—ã‹ã—ã€ã“ã®æ‰‹æ³•ã¯ã€ãƒ‡ãƒƒãƒ‰ãƒãƒƒã‚¯ã€ãƒ©ã‚¤ãƒ–ãƒãƒƒã‚¯ã€ãƒãƒƒã‚¯ ã‚³ãƒ³ãƒœã‚¤ã€2 ã‚¹ãƒ†ãƒƒãƒ— ãƒ€ãƒ³ã‚¹ã€ç«¶åˆã€ã‚ªãƒ¼ãƒãƒ¼ã‚µãƒ–ã‚¹ã‚¯ãƒªãƒ—ã‚·ãƒ§ãƒ³ã¨ã„ã£ãŸã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’æœ›ã¾ã—ããªã„çŠ¶æ…‹ã«é™¥ã‚‰ã›ã‚‹æ¸©åºŠã§ã‚‚ã‚ã‚Šã¾ã—ãŸã€‚Microsoft .NET Framework ã¯ã€ãã®èª•ç”Ÿä»¥æ¥ã€å°‚ç”¨ã®åå‰ç©ºé–“ (System.Threading) ãªã©ã€åŒæ™‚å®Ÿè¡Œã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§
lizy 2011/10/01
.net

programming

éžåŒæœŸ

ä¸¦åˆ—å‡¦ç†

async

parallel
ãƒªãƒ³ã‚¯
ãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆã®Hadoopå¯¾æŠ—ã€ŒDryadã€ãŒãƒ™ãƒ¼ã‚¿ãƒ†ã‚¹ãƒˆé–‹å§‹
ãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆã¯ã€Windows HPC Serverã®ã‚¯ãƒ©ã‚¹ã‚¿ä¸Šã§å‹•ä½œã™ã‚‹ã€ŒDryadã€ã®ãƒ™ãƒ¼ã‚¿å…¬é–‹ã‚’é–‹å§‹ã—ãŸã“ã¨ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ Dryad Beta Program Starting - The Windows HPC Team Blog - Site Home - Tech Net Blogs Dryadã¯ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ã—ã¦å…¬é–‹ã•ã‚Œã¦ã„ã‚‹å¤§è¦æ¨¡ä¸¦åˆ—ãƒãƒƒãƒå‡¦ç†ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã®Hadoopã«å¯¾æŠ—ã™ã‚‹ã‚‚ã®ã¨ã„ã‚ã‚Œã¦ã„ã¾ã™ã€‚Hadoopã¯ã€ã„ã¾ã¾ã§é«˜ä¾¡æ ¼ãªãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã¨ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ãŒå¿…è¦ã¨ã•ã‚Œã¦ã„ãŸãƒ“ã‚¸ãƒã‚¹ã‚¤ãƒ³ãƒ†ãƒªã‚¸ã‚§ãƒ³ã‚¹ãªã©ã®å¤§é‡ãƒ‡ãƒ¼ã‚¿åˆ†æžã‚’ã€å®‰ä¾¡ãªãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã®ã‚¯ãƒ©ã‚¹ã‚¿ã¨ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ã„ã†ç ´å£Šçš„ãªä½Žä¾¡æ ¼ã¨é«˜ã„å‡¦ç†èƒ½åŠ›ã‚’ã‚‚ãŸã‚‰ã—ãŸã“ã¨ã§æ³¨ç›®ã•ã‚Œã¦ã„ã¾ã™ã€‚ Dryadã¨Hadoopã®é•ã„ã¯ï¼Ÿ ç™ºè¡¨ã«ã‚ˆã‚‹ã¨ã€ä»Šå›žãƒ™ãƒ¼ã‚¿å…¬é–‹ã•ã‚ŒãŸã®ã¯ã€Windows HPC Server 2008 R2 S
lizy 2010/12/22
microsoft

hadoop

dryad

scalability

ä¸¦åˆ—å‡¦ç†

parallel
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lizy 2010/05/26
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