ããã·ã¥ãã¼ãã«ããã¨ã³ããªã¼ãæ¤ç´¢ããå¦çã¯ï¼ä¸è¬ã«å®æ°æéã§æ¸ãã¨ããã¦ãããã¤ã¾ãï¼ã©ããªã«ã¨ã³ããªã¼ãå¢ãã¦ãæ¤ç´¢ã®éãã¯å¤ãããªãï¼ã¨ãããã¨ããã¼ã¿æ§é ã®æç§æ¸ã«ã¯å¿ ãè¼ã£ã¦ãããã¨ã ãã ã§ãå®éã«ã¯ï¼ããã·ã¥ã®è¡çªãèµ·ãã£ãå ´åã«ï¼é度ã®ä½ä¸ãçºçããå¯è½æ§ããããä¾ãã°ï¼ä¸è¬çãªãã§ã¤ã³æ³ï¼ãªã¼ãã³ããã·ã¥ï¼ã ã¨ï¼è¡çªããã¨ã³ããªã¼ã«é¢ãã¦ç·å½¢æ¤ç´¢ãè¡ããã¨ã«ãªãããï¼è¡çªãå¤ããã°å¤ãã»ã©ï¼å®æ°æéããã¯é ã®ãã¦ãã¾ãã ãã®é度ä½ä¸ãé²ãæ¹æ³ã¯ããããããããªãã§ã cuckoo hashing ï¼ã«ãã³ã¦ã»ããã·ã³ã°ï¼ã¯ä»çµã¿ãé¢ç½ããããã¤ã¯ï¼ã¨ã³ããªã¼ã®æ¤ç´¢ãå¿ ãå®æ°æéã§æ¸ã¾ãã¦ãããã¨ããåªããã®ãªãã ã Cuckoo hashing ã§ã¯ï¼ï¼ã¤ã®ããã·ã¥é¢æ°ã¨ï¼ï¼ã¤ã®ãã¼ãã«ãç¨ãããããã§ã¯ï¼ï¼ã¤ã®ããã·ã¥é¢æ°ããããã h1, h2 ã¨ãã¦ï¼ï¼ã¤ã®ãã¼
In December 2017, researchers at Google and MIT published a provocative research paper about their efforts into âlearned index structuresâ. The research is quite exciting, as the authors state in the abstract: â[â¦] we believe that the idea of replacing core components of a data management system through learned models has far reaching implications for future systems designs and that this work just
Recently, my twitter pal @ifesdjeen wrote a line that resonated with me: "Looks like it's easier for people to read 40 blog posts than a single whitepaper." And although he used it in a negative context, I recognized it as a very precise (and, actually, positive) description of what a research engineer does: read a whitepaper (or a dozen, for what it's worth) and transform it into working code and
çµå±ãããåºãããæ¢ã¾ãã¾ãããç§ã¯ä»¥åãâ I Wrote a Fast Hashtableï¼ç§ãæ¸ããé«éãªããã·ã¥ãã¼ãã«ï¼ âã¨ããè¨äºã¨ãããã«æ¬¡ãã§â I Wrote a Faster Hashtableï¼ç§ãæ¸ããããé«éãªããã·ã¥ãã¼ãã«ï¼ âã¨ããè¨äºãããã°ã«ã¢ãããã¾ããããä»åã¤ãã«ãæéã®ããã·ã¥ãã¼ãã«ãæ¸ãä¸ãã¾ããããããæå³ããã¨ããã¯ãã«ãã¯ã¢ãããã©ã®ããã·ã¥ãã¼ãã«ãããéãã¨ãããã¨ã§ããããã«å ãã¦ãæ¿å ¥ãåé¤ãï¼æéã¨ã¾ã§ã¯ãããªãã¾ã§ãï¼é常ã«éãè¡ãã¾ãã ç§è¨£ã¯ãæ¢ç´¢åæ°ã®ä¸éãè¨å®ããããã³ãããããã·ã¥æ³ã使ç¨ãããã¨ã§ããããè¦ç´ ãããã®çæ³çãªä½ç½®ããXæ°ä»¥ä¸ãé¢ããä½ç½®ã«ããå ´åããã¼ãã«ãæ¡å¼µãããã¨ã§ãå ¨ã¦ã®è¦ç´ ãããã®å¤§ããªãã¼ãã«å ã«ããã¦ãçæ³çãªä½ç½®ã«è¿ã¥ãããã«ãã¾ããçµæçã«ããã®ããæ¹ã¯é常ã«ãã¾ãããã¾ããã
I had to get there eventually. I had a blog post called âI Wrote a Fast Hashtableâ and another blog post called âI Wrote a Faster Hashtable.â Now I finally wrote the fastest hashtable. And by that I mean that I have the fastest lookups of any hashtable I could find, while my inserts and erases are also really fast. (but not the fastest) The trick is to use Robin Hood hashing with an upper limit on
Here is yet another different implementation of string merging algorithm. And this is faster than the previous two (https://reviews.llvm.org/D27146, https://reviews.llvm.org/D27152). ParallelStringTableBuilder implemented in this patch is a concurrent hash table specialized for string table creation. It doesn't support resizing, and you cannot do anything other than inserting strings into the buil
{ "tiddlers": { "$:/Acknowledgements": { "title": "$:/Acknowledgements", "type": "text/vnd.tiddlywiki", "text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas
I have a lot of material related to hashing. Definitions and my offerings: Hash functions for hash table lookup Error Correction Codes Noncryptographic Checksums A noncryptographic hardware hash One-way functions (cryptographic hash functions, digital signatures) Block Ciphers Random Number Generators Stream Ciphers My functions: LOOKUP3.C, for hash table lookup SpookyHash, for hash table lookup a
Looks like Trump got elected to a second term. It's like we're in a horror movie, and we all spent the opening scenes yelling "Don't go near the caaaastle!!!", and we just went in the castle anyhow and the door shut behind us. Time to sit back and eat some popcorn and watch how this unfolds. I'm surprised Gaetz got rejected. I mean, something still actually matters? How to become rich slowly: open
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