PDF-Extendible Hashing-A Fast Access Method for Dynamic Files

RONALD FAGIN IBM Research Laboratory JURG NIEVERGELT lnstitut lnformatik NICHOLAS PIPPENGER IBM T J Watson Research Center and H RAYMOND STRONG IBM Research Laboratory Extendible hashing 1 EVOLU. Recently bit minwise hashing has been applied to largescale learning and sublinear time near neighbor search The major drawback of minwise hashing is the expensive pre processing as the method requires applying eg 200 to 500 permutations on the dat RONALD FAGIN IBM Research Laboratory JURG NIEVERGELT lnstitut lnformatik NICHOLAS PIPPENGER IBM T. J. Watson Research Center and H. RAYMOND STRONG IBM Research Laboratory Extendible hashing 1. EVOLU CSI 2132. Database I. Exercise 1. Both disks and main memory support direct access to any desired location (page). On average, main memory accesses are faster, of course. What is the other important difference (from the perspective of the time required to access a desired page)?. and. Algorithms. Course slides: Hashing. www.mif.vu.lt. /~. algis. 2. Data Structures for Sets. Many applications deal with sets.. Compilers have symbol tables (set of . vars. , classes). Dictionary is a set of words.. COL 106. Shweta Agrawal, . Amit. Kumar. Slide Courtesy : Linda Shapiro, . Uwash. Douglas W. Harder, . UWaterloo. 12/26/03. Hashing - Lecture 10. 2. The Need for Speed. Data structures we have looked at so far. Yunchao. Gong. UNC Chapel Hill. yunchao@cs.unc.edu. The problem. Large scale image search:. We have a candidate image. Want to search a . large database . to find similar images. Search the . internet. Database System Implementation CSE 507. Some slides . adapted from R. . Elmasri. and S. . Navathe. , Fundamentals of Database Systems. , Sixth . Edition, . Pearson. .. And . Silberschatz. , . Korth. Plan. I spent the last decade advising on numerous cases where hash tables/functions were used. A few observations on . What data structures I’ve seen implemented and where. What do developers think, were they need help. Consider a set of data with N data items stored in some data structure. We must be able to insert, delete & search for items. What are possible ways to do this? What is the complexity of each structure & method ?. Naifan Zhuang, Jun Ye, Kien A. Hua. Department of Computer Science. University of Central Florida. ICPR 2016. Presented by Naifan Zhuang. Motivation and Background. According to a report from Cisco, by 2019:. What is a hashing function?. Fingerprint for a given piece of data. Typically generated by a mathematical algorithm. Produces a fixed length string as its . output. Hashes are sometimes . called a . checksum or message digests. May 17. BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. 1. Jinhong Jung. Namyong. Park. Lee . Sael. U Kang. Outline. Introduction. Proposed Method. Experiment. Conclusion. When modeling a problem using a finite element program, it is very important to check whether the solution has converged. . The . word convergence is used because the output from the finite element program is converging on a single correct solution. In order to check the convergence, more than one solution to the same problem are required. If the solution is dramatically different from the original solution, then solution of the problem is not converged. However, if the solution does not change much (less than a few percent difference) then solution of the problem is considered converged.. Nhan Nguyen. & . Philippas. . Tsigas. ICDCS 2014. Distributed Computing and Systems. Chalmers University of Technology. Gothenburg, Sweden. Our contributions: a concurrent hash table. Nhan D. Nguyen.