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More Analysis of Double Hashing for Balanced Allocations [PDF]
arXiv, 2015 With double hashing, for a key $x$, one generates two hash values $f(x)$ and $g(x)$, and then uses combinations $(f(x) +i g(x)) \bmod n$ for $i=0,1,2,...$ to generate multiple hash values in the range $[0,n-1]$ from the initial two. For balanced allocations, keys are hashed into a hash table where each bucket can hold multiple keys, and each key is ...
Mitzenmacher, Michael
arxiv +11 more sources
Balanced Allocations and Double Hashing [PDF]
Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures, 2014 Double hashing has recently found more common usage in schemes that use multiple hash functions. In double hashing, for an item $x$, one generates two hash values $f(x)$ and $g(x)$, and then uses combinations $(f(x) +k g(x)) \bmod n$ for $k=0,1,2,...$ to
Alon N. +7 more
core +5 more sources
Double-Hashing Algorithm for Frequency Estimation in Data Streams [PDF]
arXiv, 2022 Frequency estimation of elements is an important task for summarizing data streams and machine learning applications. The problem is often addressed by using streaming algorithms with sublinear space data structures. These algorithms allow processing of large data while using limited data storage.
Nikita Seleznev +2 more
arxiv +7 more sources
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems [PDF]
arXiv, 2020 Deep Neural Networks (DNNs) with sparse input features have been widely used in recommender systems in industry. These models have large memory requirements and need a huge amount of training data. The large model size usually entails a cost, in the range of millions of dollars, for storage and communication with the inference services.
Caojin Zhang +12 more
arxiv +7 more sources
Complexity analysis and performance of double hashing sort algorithm [PDF]
Journal of the Egyptian Mathematical Society, 2019 Sorting an array of n elements represents one of the leading problems in different fields of computer science such as databases, graphs, computational geometry, and bioinformatics.
Hazem M. Bahig
doaj +4 more sources
Load thresholds for cuckoo hashing with double hashing [PDF]
16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018), 2018 In k-ary cuckoo hashing, each of cn objects is associated with k random buckets in a hash table of size n. An l-orientation is an assignment of objects to associated buckets such that each bucket receives at most l objects.
Mitzenmacher, Michael +2 more
core +6 more sources
Quantum Free-Start Collision Attacks on Double Block Length Hashing with Round-Reduced AES-256
IACR Transactions on Symmetric Cryptology, 2021 Recently, Hosoyamada and Sasaki (EUROCRYPT 2020), and Xiaoyang Dong et al. (ASIACRYPT 2020) proposed quantum collision attacks against AES-like hashing modes AES-MMO and AES-MP.
Amit Kumar Chauhan +2 more
doaj +4 more sources
The Cost of Bitcoin Mining Has Never Really Increased [PDF]
Frontiers in Blockchain, 2020 The Bitcoin network is burning a large amount of energy for mining. In this paper, we estimate the lower bound for the global mining energy cost for a period of 10 years from 2010 to 2020, taking into account changes in energy costs, improvements in ...
Yo-Der Song +3 more
doaj +6 more sources
Double hashing technique in closed hashing search process [PDF]
IOP Conference Series: Materials Science and Engineering, 2017 The search process is used in various activities performed both online and offline, many algorithms that can be used to perform the search process one of which is a hash search algorithm, search process with hash search algorithm used in this study using double hashing technique where the data will be formed into the table with same length and then ...
Robbi Rahim +2 more
semanticscholar +4 more sources
Double hashing thresholds via local weak convergence [PDF]
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013 International ...
Mathieu Leconte
semanticscholar +8 more sources