[B! performance] ang65ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

ang65 id:ang65

performanceã«é–¢ã™ã‚‹ang65ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (13)

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Dockerã‚³ãƒ³ãƒ†ãƒŠãŒé…ããªã‚‹ã‚‚ã†ä¸€ã¤ã®åŽŸå› | POSTD
å‰å›žã® ãƒ–ãƒã‚°è¨˜äº‹ ã§ã¯ã€Kubernetesã®è©±ã¨ã€ ThoughtSpot ãŒKubernetesã‚’é–‹ç™ºã‚¤ãƒ³ãƒ•ãƒ©ã®ãƒ‹ãƒ¼ã‚ºã«åˆã‚ã›ã¦ã©ã®ã‚ˆã†ã«å–ã‚Šå…¥ã‚ŒãŸã‹ã‚’ã”ç´¹ä»‹ã—ã¾ã—ãŸã€‚ä»Šå›žã¯ãã®ç¶šå ±ã¨ã—ã¦ã€æœ€è¿‘ã®èˆˆå‘³æ·±ã„ãƒ‡ãƒãƒƒã‚°çµŒé¨“ã«ã¤ã„ã¦å°‘ã€…é§†ã‘è¶³ã«ãªã‚Šã¾ã™ãŒãŠè©±ã—ã—ã¦ã„ãã¾ã™ã€‚æœ¬è¨˜äº‹ã‚‚ã€Œã‚³ãƒ³ãƒ†ãƒŠåŒ–ã¨ä»®æƒ³åŒ–ã¯ãƒŽãƒƒãƒˆã‚¤ã‚³ãƒ¼ãƒ«ã§ã‚ã‚‹ã€ã¨ã„ã†äº‹å®Ÿã«åŸºã¥ã„ã¦ãŠã‚Šã€ãŸã¨ãˆcgroupã®ä¸Šé™ãŒã©ã‚Œã‚‚é«˜ããªã„å€¤ã«è¨å®šã•ã‚Œãƒ›ã‚¹ãƒˆãƒžã‚·ãƒ³ã§ååˆ†ãªæ¼”ç®—èƒ½åŠ›ãŒåˆ©ç”¨ã§ãã‚‹ã¨ã—ã¦ã‚‚ã€ã‚³ãƒ³ãƒ†ãƒŠåŒ–ã•ã‚ŒãŸãƒ—ãƒã‚»ã‚¹åŒå£«ãŒãƒªã‚½ãƒ¼ã‚¹ã®ç«¶åˆã‚’èµ·ã“ã™å ´åˆãŒã‚ã‚‹ã“ã¨ã‚’ç¤ºã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ThoughtSpotã§ã¯å†…éƒ¨ã®Kubernetesã‚¯ãƒ©ã‚¹ã‚¿ã§ å¤šæ•°ã®CI/CDã‚„é–‹ç™ºé–¢é€£ã®ãƒ¯ãƒ¼ã‚¯ãƒ•ãƒãƒ¼ ã‚’ç¨¼åƒã•ã›ã¦ãŠã‚Šã€ã‚ã‚‹1ç‚¹ã‚’é™¤ã„ã¦ã¯å…¨ã¦ãŒé †èª¿ã§ã—ãŸã€‚å”¯ä¸€å•é¡Œã ã£ãŸã®ã¯ã€ãƒ‰ãƒƒã‚«ãƒ¼åŒ–ã•ã‚ŒãŸè£½å“ã‚³ãƒ”ãƒ¼ã‚’èµ·å‹•ã™ã‚‹ã¨ã€ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãŒæœŸå¾…ã‚’æ¥µç«¯ã«ä¸‹å›žã‚‹ãƒ¬ãƒ™
ang65 2018/04/27
ã‚³ãƒ³ãƒ†ãƒŠ

docker

linux

performance
ãƒªãƒ³ã‚¯
ã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³é–‹ç™ºã«æ–°è¨€èªžã‚’æŽ¡ç”¨ã—ãŸã¨ãã«ã‚¤ãƒ³ãƒ•ãƒ©ã§è€ƒãˆãŸã“ã¨ - ã‚†ã†ã†ããƒ–ãƒã‚°
ã“ã®æ–‡ç« ã¯ã€ã‚µãƒ¼ãƒã‚µã‚¤ãƒ‰ã®ã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³é–‹ç™ºã«ãŠã„ã¦ã€ç¤¾å†…å®Ÿç¸¾ã®å°‘ãªã„æ–°ã—ã„è¨€èªžã‚’æŽ¡ç”¨ã—ãŸã¨ãã«ã‚¤ãƒ³ãƒ•ãƒ©é¢ã§è€ƒæ…®ã—ãŸã“ã¨ã‚’ç¤¾å†…å‘ã‘ã«ã¾ã¨ã‚ãŸã‚‚ã®ã§ã™ã€‚ ã¯ã¦ãªã§ã¯ã€é•·ã‚‰ãPerlã§ã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³é–‹ç™ºã‚’ç¶šã‘ã¦ããŸä¸€æ–¹ã€ã“ã“æ•°å¹´ã§ç¤¾å†…ã§Scalaã¾ãŸã¯Goã®æŽ¡ç”¨äº‹ä¾‹ã‚‚å¢—ãˆã¦ãã¾ã—ãŸã€‚ ä»Šå¾Œé–‹ç™ºãŒå§‹ã¾ã‚‹ãƒ—ãƒãƒ€ã‚¯ãƒˆã«ãŠã„ã¦ã‚‚ã€Perlã€Scalaã€Goã‚‚ã—ãã¯ä»–ã®è¨€èªžã‚’æŽ¡ç”¨ã™ã‚‹ã‹ã©ã†ã‹ã‚’é–‹ç™ºé–‹å§‹æ™‚ã«é¸ã¶ã“ã¨ã«ãªã‚‹ã§ã—ã‚‡ã†ã€‚ æ–°è¨€èªžã‚’æŽ¡ç”¨ã™ã‚‹ã¨ãã«ã€è€ƒæ…®ã™ã¹ãã“ã¨ã®ä¸€ã¤ã¨ã—ã¦ã€ã€Œã‚¤ãƒ³ãƒ•ãƒ©ã€ã¸ã®å½±éŸ¿ãŒã‚ã‚Šã¾ã™ã€‚ æ–°è¨€èªžã«é–¢ã™ã‚‹é›‘è«‡ã‚’ã—ã¦ã„ã‚‹ã¨ã€ã‚¦ã‚§ãƒ–ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã«ã€Œã‚¤ãƒ³ãƒ•ãƒ©ã€ã¸ã®å½±éŸ¿ã«ã¤ã„ã¦èžã‹ã‚Œã¾ã™ã€‚ ã‚‚ã—ãã¯ã€ã‚¦ã‚§ãƒ–ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‹ã‚‰è€ƒæ…®ã™ã‚‹ãƒã‚¤ãƒ³ãƒˆã‚’ä¼ãˆã‚‹ã“ã¨ã‚‚ã‚ã‚Šã¾ã™ã€‚ Scalaã‚„Goä»¥å¤–ã«ã€Node.jsã‚„ã‚µãƒ¼ãƒã‚µã‚¤ãƒ‰Swiftã¯ã©ã†ã‹ã¨ã„ã†ã®ã‚‚é›‘è«‡
ang65 2016/03/03
ã‚¤ãƒ³ãƒ•ãƒ©

é–‹ç™º

performance

ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£
ãƒªãƒ³ã‚¯
Neural Networks with Few Multiplications
For most deep learning algorithms training is notoriously time consuming. Since most of the computation in training neural networks is typically spent on floating point multiplications, we investigate an approach to training that eliminates the need for most of these. Our method consists of two parts: First we stochastically binarize weights to convert multiplications involved in computing hidden
ang65 2015/10/14
performance

Algorithms
ãƒªãƒ³ã‚¯
Kefir.js â€” fast and light Reactive Programming library for JavaScript inspired by Bacon.js and RxJS
Redirecting to kefirjs.github.io/kefir/...
ang65 2014/12/22
FRP

memory

performance

javascript

reactive

stream

reactive_programming
ãƒªãƒ³ã‚¯
What is SeqAn?
What is SeqAn?SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. Our library applies a unique generic design that guarantees high performance, generality, extensibility, and integration with other libraries. SeqAn is easy to use and simplifies the development of new software tools with a minimal loss of p
ang65 2013/01/15
library

performance

c++

bioinformatics
ãƒªãƒ³ã‚¯
WEBã‚µã‚¤ãƒˆè² è·ãƒ†ã‚¹ãƒˆãƒ„ãƒ¼ãƒ«7é¸ | ã•ã¶ã¿ã£ã¨ï¼JAPAN
WEBã‚µã‚¤ãƒˆã«æƒ…å ±ã‚’å…¥åŠ›ã™ã‚‹ã ã‘ã§è² è·ãƒ†ã‚¹ãƒˆãŒã§ãã‚‹Load Impactã€GUIã‹ã‚‰æ“ä½œã§ãã‚‹Apache JMeterã‚„ã€ã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã‹ã‚‰ä½¿ã†curl-loaderãƒ»httperfãƒ»Siegeãƒ»Pylotãƒ»abã‚’ç°¡å˜ãªä½¿ã„æ–¹ã¨å…±ã«ç´¹ä»‹ã—ã¦ã„ãã¾ã™ã€‚ Load Impact http://loadimpact.com/ Load Impactã¯ã‚¹ã‚¥ã‚¨ãƒ¼ãƒ‡ãƒ³ã®Gatorhole ABç¤¾ãŒç®¡ç†ã—ã¦ã„ã‚‹ã€ãƒ•ã‚©ãƒ¼ãƒ ã«å¿…è¦ãªæƒ…å ±ã‚’å…¥åŠ›ã™ã‚‹ã ã‘ã§è² è·ãƒ†ã‚¹ãƒˆã‚’ã—ã¦ãã‚Œã‚‹WEBã‚µã‚¤ãƒˆã§ã™ã€‚ ãƒ„ãƒ¼ãƒ«ã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ãŸã‚Šã™ã‚‹å¿…è¦ãŒæœ‰ã‚Šã¾ã›ã‚“ã®ã§ã€éžå¸¸ã«æ¥½ã§ã™ã€‚ æ¯Žæœˆ5å›žã¾ã§ç„¡æ–™ã§è² è·ãƒ†ã‚¹ãƒˆãŒã§ãã¾ã™ã€‚ ãã‚Œä»¥ä¸Šã¯10å›ž/$30ã®ã‚¯ãƒ¬ã‚¸ãƒƒãƒˆã‚’è³¼å…¥ã™ã‚‹äº‹ã«ãªã‚Šã¾ã™ã€‚ ãƒˆãƒƒãƒ—ãƒšãƒ¼ã‚¸ã®ãƒ•ã‚©ãƒ¼ãƒ ã«URLã‚’å…¥ã‚Œã¦ã€ŒRun free testã€ã‚’ã‚¯ãƒªãƒƒã‚¯ã™ã‚‹ã¨ã€ä¸–ç•Œå„åœ°ã®ã„ãšã‚Œã‹ã®Amazon EC2ã‚µãƒ¼ãƒã‹ã‚‰è² è·ãƒ†ã‚¹
ang65 2012/03/07
ãƒ†ã‚¹ãƒˆ

webåˆ¶ä½œ

test

è² è·ãƒ†ã‚¹ãƒˆ

performance
ãƒªãƒ³ã‚¯
ï½¢ã‚¹ã‚«ãƒ©ãƒ¼ï½¥ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°è¬›ç¿’ä¼šï½£ã¨ï½¢ä¸¦åˆ—ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°(MPI)è¬›ç¿’ä¼šï½£ã§é…å¸ƒã—ãŸãƒ†ã‚ã‚¹ãƒˆï½œHPC High Performance Computingï½œACCC. RIKEN
ï¼ˆ2009å¹´7æœˆ21æ—¥æ›´æ–°ï¼‰ æ³¨æ„ åŽŸç¨¿ã‚’ã‚¤ãƒ¡ãƒ¼ã‚¸ãƒ‡ãƒ¼ã‚¿ã¨ã—ã¦èªã¿è¾¼ã‚“ã§PDFãƒ•ã‚¡ã‚¤ãƒ«åŒ–ã—ãŸãŸã‚ ï½¤ ã‚µã‚¤ã‚ºãŒå¤§ãããªã£ã¦ã„ã¾ã™ã€‚ å…¨ãƒšãƒ¼ã‚¸ã‚’å«ã‚€ãƒ•ã‚¡ã‚¤ãƒ«ã¨ ï½¤ ç« (ã¾ãŸã¯ã„ãã¤ã‹ã®ç¯€)ã”ã¨ã«åˆ†å‰²ã—ãŸãƒ•ã‚¡ã‚¤ãƒ«ã®2ç¨®é¡žãŒã‚ã‚Šã¾ã™ï¼ˆå†…å®¹ã¯åŒã˜ã§ã™ï¼‰ã€‚ ãƒ†ã‚ã‚¹ãƒˆã®å†…å®¹ã¯ä»Šå¾Œä¸å®šæœŸã«åŠ ç†ä¿®æ£ã—ã¾ã™ ï½¡ ãƒ•ã‚¡ã‚¤ãƒ«åã®æœ«å°¾ã«ã¤ã„ã¦ã„ã‚‹ ï½¢20xx-xx-xx ï½£ ã¯ã€ãã®ãƒ•ã‚¡ã‚¤ãƒ«å†…ã®ãƒšãƒ¼ã‚¸ãŒæœ€å¾Œã«æ›´æ–°ã•ã‚ŒãŸæ—¥ä»˜ã‚’ç¤ºã—ã¾ã™ ï½¡ ç°¡æ˜“è£½æœ¬ã™ã‚‹éš›ã¯ ï½¤i, iii, vãƒšãƒ¼ã‚¸(vã¯(2)ã®ã¿) ï½¤ ãŠã‚ˆã³æœ¬æ–‡ã®å¥‡æ•°ãƒšãƒ¼ã‚¸(ä¾‹ãˆã°1-1,1-3, ï½¥ ï½¥ ï½¥,2-1,2-3, ï½¥ ï½¥ ï½¥)ãŒ ï½¤ è¦‹é–‹ãã—ãŸå³å´ã®ãƒšãƒ¼ã‚¸ã«ãªã‚‹ã‚ˆã†ã«ã—ã¦ä¸‹ã•ã„ ï½¡ ä¸‹è¨˜è³‡æ–™ã«é–¢ã™ã‚‹ãŠå•ã„åˆã‚ã›ã¯ ã¾ã§ã”é€£çµ¡ä¸‹ã•ã„ ï½¡ (1) ã€Œãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æŠ€æ³•å…¥é–€ã€(æ—§ã€Œãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æŠ€æ³•è™Žã®å·»ã€) ã€Œã‚¹ã‚«ãƒ©ãƒ¼ãƒ»ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°è¬›ç¿’ä¼šã€ ã§é…
ang65 2012/01/10
MPI

hpc

é«˜é€ŸåŒ–

PDF

è³‡æ–™

cuda

performance
ãƒªãƒ³ã‚¯
perfã®ä½¿ã„ã‹ãŸ
æ¦‚è¦ Linuxã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹è§£æžãƒ„ãƒ¼ãƒ«ã§ã‚ã‚‹perfã®ä½¿ã„ã‹ãŸã®ç´¹ä»‹ èƒŒæ™¯ å€‹äººçš„ã«perfã‚ˆãã§ãã¦ã‚‹ã¨æ€ã†ã®ã§ç´¹ä»‹ã—ãŸã„ã¨ã„ã†ã®ã¨ã€ ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚«ã‚¦ãƒ³ã‚¿ã®èªã¿æ–¹ã£ã¦ã‚ã‚“ã¾ã‚ŠçŸ¥ã‚‰ã‚Œã¦ãªã„ã¿ãŸã„ãªã®ã§ã€ ãã‚Œã®è§£èª¬ã‚’æ›¸ããŸã„ã€‚ æ§‹æˆ perf ã«ã¤ã„ã¦èª¬æ˜Žã—ãŸã‚ã¨ã€ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚«ã‚¦ãƒ³ã‚¿ã®èªã¿ã‹ãŸã€è¦‹ã‹ãŸã€ã‚’èª¬æ˜Žã™ã‚‹ã€‚ perfã¨ã¯ä½•ã‹ Linuxã«ä»˜ã„ã¦ãã‚‹ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©ã€‚ man perf ã«ã‚ˆã‚‹ã¨ã€ NAME ---- perf - Performance analysis tools for Linux ã¨ã€æ›¸ã„ã¦ã‚ã‚‹ã€‚åå‰ãŒã²ã©ã„ã®ã§ãªã‚“ã¨ã‹ã—ã¦ã»ã—ã„ã€‚ perf ã®ç‰¹å¾´ å€‹äººçš„ã«ã¯ã€æ‰‹è»½ã«ä½¿ãˆã‚‹ã®ãŒç´ æ™´ã‚‰ã—ã„ã¨æ€ã†ã€‚ 2.6.31ä»¥é™ã‚«ãƒ¼ãƒãƒ«ã«æ¨™æº–ã§ä»˜ã„ã¦ã‚‹ã€‚(Ubuntuã ã¨linux-tools-common(TODO:ã‚ã¨ã§ç¢ºèª)ã§å…¥ã‚‹ã¯ãš) ç‰¹æ®Šãªè¨å®šãŒå¿…è¦ç„¡ãã€
ang65 2011/10/11
linux

ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ©

programming

performance

tutorial
ãƒªãƒ³ã‚¯
murmurhash
Not your computer? Use a private browsing window to sign in. Learn more about using Guest mode
ang65 2011/04/18
sample

c++

performance

algorithm

hash

library
ãƒªãƒ³ã‚¯
PacketShader - GPU-accelerated Software Router
New: The I/O engine is now available! We have partially released the source code used in this work. You can find the user-level packet I/O engine for Intel 82598/82599 NICs here. We do not have a definite release plan for other parts of the PacketShader code not made available on the web as of today. What is PacketShader? PacketShader is a high-performance PC-based software router platform that ac
ang65 2010/09/12
performance

GPU

parallel

è«–æ–‡
ãƒªãƒ³ã‚¯
TJSAI : Vol. 25 (2010) , No. 1 pp.50-57
Summary:Â Â We propose a machine learning based method of sentiment classification of sentences using word-level polarity. The polarities of words in a sentence are not always the same as that of the sentence, because there can be polarity-shifters such as negation expressions. The proposed method models the polarity-shifters. Our model can be trained in two different ways: word-wise and sentence-wi
ang65 2010/08/11
classification

performance

nlp
ãƒªãƒ³ã‚¯
Use Appcelerator Titanium to build mobile apps for iPhone & Android and desktop apps for Windows, Mac OS X & Linux from Web technologies
In 2022, Axway made all private source code of the Titanium SDK public in the open source Titanium SDK GitHub repository. For more information, please read theâ€¯full announcementâ€¯and what you need to know about â€¯transitioning your apps. Amplify Enterprise Marketplace Today, Axway focuses on helping API development teams govern, secure, productize, and monetize APIs in a central marketplaceâ€”one you
ang65 2010/05/02
web

performance

é–‹ç™ºç’°å¢ƒ
ãƒªãƒ³ã‚¯
Gmail for Mobile HTML5 Series: Reducing Startup Latency
On April 7th, Google launched a new version of Gmail for mobile for iPhone and Android-powered devices. We shared the behind-the-scenes story through this blog and decided to share more of what we've learned in a brief series of follow-up blog posts. This week, I'll talk about how modularization can be used to greatly reduce the startup latency of a web app. To a user, the startup latency of an HT
ang65 2009/12/22
html

blog

gmail

HTML

performance
ãƒªãƒ³ã‚¯
1