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dann id:dann

compressionã«é–¢ã™ã‚‹dannã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (19)

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PNGç”»åƒã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚µã‚¤ã‚ºã‚’å°ã•ãã™ã‚‹ - Qiita
ã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã‚¢ãƒ—ãƒªã‚’ä½œã£ã¦ã„ã‚‹ã¨ã€å‰ã„äººã‹ã‚‰ã€Œã‚¢ãƒ—ãƒªã®å®¹é‡ã§ã‹ã„ã‚ˆãƒ¼ã€å°ã•ãã—ã¦ãƒ¼ã€ãªã‚“ã¦è¨€ã‚ã‚Œã¡ã‚ƒã£ãŸã‚Šã—ã¦ã•ã¦ã©ã†ã—ã‚ˆã†ã‹ã¨ã„ã†ã“ã¨ã«ãªã‚‹ã“ã¨ãŒã—ã°ã—ã°ã‚ã‚Šã¾ã™ã€‚ ãã‚“ãªã¨ãã¯ã¾ãšä½¿ã£ã¦ã„ãªã„ç”»åƒã‚„å‹•ç”»ç‰ã®ãƒªã‚½ãƒ¼ã‚¹ã‚’å‰Šé™¤ã™ã‚‹ã®ã¯ã‚‚ã¡ã‚ã‚“ã€ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã®æœ€é©åŒ–ã‚ªãƒ—ã‚·ãƒ§ãƒ³ã‚’ä¸Šã’ã¦ã¿ãŸã‚Šã—ã¦ãªã‚“ã¨ã‹ãŒã‚“ã°ã‚‹ã®ã§ã™ãŒã€åŠªåŠ›ã«ã‚‚é™åº¦ãŒã‚ã‚Šã¾ã™ã€‚ ãªã‚“ã§ã€PNGç”»åƒã‚’å†åœ§ç¸®ã™ã‚‹ã“ã¨ã§å®¹é‡ã‚’å°ã•ãã—ã¦ã¿ã‚‹ã®ãŒè‰¯ã„ã§ã—ã‚‡ã†ã€‚ ãƒ‡ã‚¶ã‚¤ãƒŠãƒ¼ãŒPhothoshopã§ä½œã£ãŸPNGãƒ•ã‚¡ã‚¤ãƒ«ã‚’ã‚¢ãƒ—ãƒªã«ãã®ã¾ã¾çµ„ã¿è¾¼ã‚“ã§ã„ã‚‹å ´åˆã¯ã€PNGç”»åƒã‚’å†åœ§ç¸®ã™ã‚‹ã“ã¨ã§ã‚µã‚¤ã‚ºã‚’å°ã•ãã™ã‚‹ã“ã¨ãŒæœŸå¾…ã§ãã¾ã™ã€‚ PNGã®æœ€é©åŒ–ãƒ„ãƒ¼ãƒ« PNGã®æœ€é©åŒ–ãƒ„ãƒ¼ãƒ«ã«ã¯ã€å¯é€†åœ§ç¸®ã®Pngcrushã‚„OptiPNGã€éžå¯é€†åœ§ç¸®ã®pngquantã¨ã„ã£ãŸã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚ ãã®ä¸ã§é«˜ã„åœ§ç¸®çŽ‡ã‚’èª‡ã‚‹zopflipngã‚’ä½¿ã£ã¦ã¿ã¾ã™ã€‚ zopfli
dann 2017/10/21
compression
ãƒªãƒ³ã‚¯
Roaring Bitmaps
A better compressed bitset Roaring bit maps are compressed bit maps. They can be hundreds of times faster. Grab one of our research papers Roaring Bit maps on GitHub Widely used Roaring is found in Google Procella: YouTubeâ€™s SQL Engine, Apache Lucene and derivative systems such as Solr and Elasticsearch, Apache Druid, Apache Spark, Apache Hive, Apache Tez, Apache Zeppelin, Apache Doris, Apache Carbon
dann 2017/10/16
compression
ãƒªãƒ³ã‚¯
Zstandard - Real-time data compression algorithm
Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license. Its format is stable a
dann 2017/03/24
compression
ãƒªãƒ³ã‚¯
GitHub - lemire/JavaFastPFOR: A simple integer compression library in Java
It is a library to compress and uncompress arrays of integers very fast. The assumption is that most (but not all) values in your array use much less than 32 bits, or that the gaps between the integers use much less than 32 bits. These sort of arrays often come up when using differential coding in databases and information retrieval (e.g., in inverted indexes or column stores). Please note that ra
dann 2015/06/21
java

compression
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å„ç¨®åœ§ç¸®ã‚½ãƒ•ãƒˆ åœ§ç¸®é€Ÿåº¦ã¨åœ§ç¸®çŽ‡ã®æ¯”è¼ƒ(ä¸¦åˆ—ç‰ˆå«ã‚€)
ä¸‹è¨˜ã®è¡¨ã¯ gzip ã®æ¨™æº–çŠ¶æ…‹ã‚’ 1 ã¨ã—ãŸç›¸å¯¾çš„ãªæ•°å€¤ã‚’ç¤ºã—ã¦ã„ã¾ã™ã€‚ Software æ¬„ã® -1 ã‚„ -9 ã¯ã€ã‚³ãƒžãƒ³ãƒ‰ã«æŒ‡å®šã§ãã‚‹åœ§ç¸®çŽ‡ã§ã™ã€‚ -1 ãŒæœ€ä½Žã€ -9 ãŒæœ€é«˜ã«ãªã£ã¦ã„ã‚‹ã‚³ãƒžãƒ³ãƒ‰ãŒå¤šã„ã§ã™ã€‚ ä¸¦åˆ—ã«å®Ÿè¡Œã§ãã‚‹ã‚‚ã®ã«é–¢ã—ã¦ã¯ã™ã¹ã¦ 8 ã‚¹ãƒ¬ãƒƒãƒ‰ã§å®Ÿè¡Œã—ã¦ã„ã¾ã™ã€‚ ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯çµæžœ time real å®Ÿéš›ã®çµŒéŽæ™‚é–“ time user CPU user æ™‚é–“ compression ratio åœ§ç¸®çŽ‡ã®æ¯”ã€‚å¤§ãã„ã»ã©ãƒ•ã‚¡ã‚¤ãƒ«ãŒå¤§ãã„ã€‚ compression ratio (single/parallel) ä¸¦åˆ—ç‰ˆã«ã¤ã„ã¦ã€ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰ã«å¯¾ã™ã‚‹åœ§ç¸®çŽ‡ã®æ¯” parallel overhead ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰ç‰ˆã¨æ¯”è¼ƒã—ãŸ CPU useræ™‚é–“ã®æ¯”
dann 2013/09/03
cpu

compression
ãƒªãƒ³ã‚¯
Large Text Compression Benchmark
ï»¿ Large Text Compression Benchmark Matt Mahoney Last update: June 4, 2024. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi
dann 2013/08/03
compression

benchmark
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DSIRNLP #3 LZ4 ã®é€Ÿã•ã®ç§˜å¯†ã«è¿«ã£ã¦ã¿ã‚‹
8. Agenda 1. What is LZ4 ? 2. Dictionary compression 3. Why fast ? 4. Conclusion 8
dann 2012/10/02
compression

lz4
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Fast integer compression: decoding billions of integers per second â€“ Daniel Lemire's blog
Databases and search engines often store arrays of integers. In search engines, we have inverted indexes that map a query term to a list of document identifiers. This list of document identifiers can be seen as a sorted array of integers. In databases, indexes often work similarly: they map a column value to row identifiers. You also get arrays of integers in databases through dictionary coding: y
dann 2012/09/17
compression
ãƒªãƒ³ã‚¯
GitHub - lz4/lz4: Extremely Fast Compression algorithm
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dann 2012/08/25
compression

lz4
ãƒªãƒ³ã‚¯
Data Compression Explained - Matt Mahoney
ï»¿ Data Compression Explained Matt Mahoney Copyright (C) 2010-2012, Dell, Inc. You are permitted to copy and distribute material from this book provided (1) any material you distribute includes this license, (2) the material is not modified, and (3) you do not charge a fee or require any other considerations for copies or for any works that incorporate material from this book. These restrictions do
dann 2011/06/29
compression
ãƒªãƒ³ã‚¯
Oracle |ã‚¯ãƒ©ã‚¦ãƒ‰ãƒ»ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã‚¯ãƒ©ã‚¦ãƒ‰ãƒ»ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ
ã‚ªãƒ©ã‚¯ãƒ«ã¯ã€ã‚¤ã‚¹ãƒ©ã‚¨ãƒ«ã¨ãã®å¸‚æ°‘ã«å¯¾ã™ã‚‹ãƒ†ãƒæ”»æ’ƒã‚’è¨±ã—ã¾ã›ã‚“ã€‚ã‚ªãƒ©ã‚¯ãƒ«ã¯ã€å½“ç¤¾ã®å¾“æ¥å“¡ã€ã‚¤ã‚¹ãƒ©ã‚¨ãƒ«æ”¿åºœã€ãŠã‚ˆã³åŒå›½ã®é˜²è¡›çµ„ç¹”ã«å¿…è¦ãªã‚ã‚‰ã‚†ã‚‹æ”¯æ´ã‚’æä¾›ã™ã‚‹æ–¹é‡ã§ã™ã€‚ Magen David Adomã¯ã€ã‚¤ã‚¹ãƒ©ã‚¨ãƒ«å¸‚æ°‘ã«ç·Šæ€¥åŒ»ç™‚ã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›ã™ã‚‹éžå–¶åˆ©å›£ä½“ã§ã€ã‚ã‚‰ã‚†ã‚‹å ´æ‰€ã§äººé–“ã®è‹¦ã—ã¿ã‚’è»½æ¸›ã—ã€ã™ã¹ã¦ã®äººã€…ã®å¥åº·ã¨å°ŠåŽ³ã‚’å®ˆã‚‹ã“ã¨ã«å°½åŠ›ã—ã¦ã„ã¾ã™ã€‚ã‚ªãƒ©ã‚¯ãƒ«ã¯ã€å½“ç¤¾ã®å¾“æ¥å“¡ã‹ã‚‰å¯„ã›ã‚‰ã‚ŒãŸå¯„ä»˜é‡‘ã¨åŒé¡ã‚’ä¸Šä¹—ã›ã—ã¦ã€ã“ã®é‡è¦ãªçµ„ç¹”ã«å¯„ä»˜ã—ã¾ã™ã€‚#istandwithisrael
dann 2011/06/21
oracle

compression

redo
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LZO vs Snappy vs LZF vs ZLIB, A comparison of compression algorithms for fat cells in HBase
LZO vs Snappy vs LZF vs ZLIB, A comparison of compression algorithms for fat cells in HBase Now and then, i talk about our usage of HBase and MapReduce. Although i am not able to discuss details further than what writes on my linkedin profile, i try to talk about general findings which may help others trying to achive similar goals. This post is about a recent research which tries to increase IO p
dann 2011/06/06
compression

snappy
ãƒªãƒ³ã‚¯
GitHub - eishay/jvm-serializers: Benchmark comparing serialization libraries on the JVM
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dann 2011/04/01
java

compression
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GitHub - ning/jvm-compressor-benchmark: Benchmark suite for data compression library on the JVM
Overview This project is focus on building a comprehensive benchmark for comparing time and space efficiency of open source compression codecs on JVM platform. Codecs to include need to be accesible from Java (and thereby from any JVM language) via either pure Java interface or JNI; and need to support either basic block mode (byte array in, byte array out), or streaming code (InputStream in, Outp
dann 2011/04/01
java

compression
ãƒªãƒ³ã‚¯
snappy -A fast compressor/decompressor - Google Project Hosting
Code Archive Skip to content Google About Google Privacy Terms
dann 2011/03/23
compression

google

snappy
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GitHub - kevinweil/hadoop-lzo: Patched, refactored version of code.google.com/hadoop-gpl-compression for hadoop 0.20
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dann 2010/11/18
lzo

java

compression

hadoop
ãƒªãƒ³ã‚¯
åˆ†å‰²å¯èƒ½ãªLZOåœ§ç¸®ã‚’hadoopã§ä½¿ã†
Twitterã§ã¯åŸºæœ¬çš„ã«ãƒ•ã‚¡ã‚¤ãƒ«ã¯LZOåœ§ç¸®ã—ã¦ã„ã‚‹ã‚ˆã†ã§ï¼Œ 3,4å€ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã®ç¯€ç´„ åˆ†å‰²å¯èƒ½ CPUã¯å°‘ã—ã—ã‹ä½¿ã‚ãªã„ IOãƒã‚¦ãƒ³ãƒ‰ã®ã‚¸ãƒ§ãƒ–ã¯3,4å€ã®æ€§èƒ½å‘ä¸Š ãªã©ã®ãƒ¡ãƒªãƒƒãƒˆãŒã‚ã‚‹ã¨è¨€ã£ã¦ã„ã¾ã™ï¼Žã“ã‚Œã¯ä½¿ã‚ãªã„æ‰‹ã¯ãªã„ã¨ã„ã†ã“ã¨ã§è©¦ã—ã¦ã¿ã¾ã—ãŸï¼Ž clouderaã®ã“ã®ãƒ–ãƒã‚°è¨˜äº‹ã‚’å‚è€ƒã«ã—ã¦é€²ã‚ã¾ã™ï¼Ž code.google.com/p/hadoop-gpl-compressionã‚‚ã‚ã‚Šã¾ã™ãŒï¼ŒTwitterãŒå…¬é–‹ã—ã¦ã„ã‚‹åˆ†å‰²å¯èƒ½ãªã®ã‚’ä½¿ã„ã¾ã™ï¼Ž http://github.com/kevinweil/hadoop-lzo ä»Šå›žã®ç’°å¢ƒã¯clouderaã®amiã‚’ãƒ™ãƒ¼ã‚¹ã«ã—ã¾ã—ãŸï¼Ž cloudera-ec2-hadoop-images/cloudera-hadoop-fedora-20090623-x86_64 ami-2359bf4 CDH3ã§ï¼Œhadopoã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯
dann 2010/11/18
lzo

compression

hadoop
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Cloudera Blog
In an era where artificial intelligence (AI) is reshaping enterprises across the globeâ€”be it in healthcare, finance, or manufacturingâ€”itâ€™s hard to overstate the transf ormation that AI has had on businesses, regardless of industry or size. At Cloudera, we recognize the urgent need for bold steps to harness this potential and dramatically accelerate the time to [â€¦] Read blog post
dann 2010/11/18
lzo

compression

java

hadoop
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Make ã‚’åˆ©ç”¨ã—ãŸ JavaScript ãƒ•ã‚¡ã‚¤ãƒ«ã®çµåˆãƒ»åœ§ç¸®
Make ã‚’åˆ©ç”¨ã—ãŸ JavaScript ãƒ•ã‚¡ã‚¤ãƒ«ã®çµåˆãƒ»åœ§ç¸® 2005-12-06-1: [JavaScript][Code] http://d.hatena.ne.jp/llamerada/20051204/1133674702 GNU make ã¨ JavaScript ã‚’åœ§ç¸®ã™ã‚‹ Java ãƒ—ãƒã‚°ãƒ©ãƒ Dojo's Compressor ã‚’ç”¨ã„ã¦ JavaScript ãƒ•ã‚¡ã‚¤ãƒ«ã‚’çµåˆã—åœ§ç¸®ã™ã‚‹æ–¹æ³•ï¼Ž SRC = test1.js test2.js COMB = test.js COMP = small_test.js all: $(COMP) $(COMB): $(SRC) cat $(SRC) > $(COMB) $(COMP): $(COMB) java -jar custom_rhino.jar -c $(COMB) > $(COMP) ãªã‚‹ã»ã©ï¼Œã“ã†ã„ã†ä½¿ã„æ–¹ã‚‚ã‚ã£ãŸã‹ï¼Ž
dann 2007/09/15
compression

javascript

make
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