Towards Fast Incremental Hashing of Large Bit Vectors

نویسندگان

  • Michael Wilder
  • Clinton Jeffery
چکیده

Many application domains require algorithmic support for collections of large bit vectors that are frequently referenced. In a compiler that performs type inferencing, this problem occurred in representing sets of possible types at each program point. This paper presents an incremental hashing technique that performs well in this domain.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Incremental Hashing for Spin

This paper discusses a generalised incremental hashing scheme for explicit state model checkers. The hashing scheme has been implemented into the model checker Spin. The incremental hashing scheme works for Spin’s exhaustive and both approximate verification modes: bitstate hashing and hash compaction. An implementation has been provided for 32-bit and 64-bit architectures. We performed extensi...

متن کامل

Hashing Pursuit for Online Identification of Heavy-Hitters in High-Speed Network Streams

Distributed Denial of Service (DDoS) attacks have become more prominent recently, both in frequency of occurrence, as well as magnitude. Such attacks render key Internet resources unavailable and disrupt its normal operation. It is therefore of paramount importance to quickly identify malicious Internet activity. The DDoS threat model includes characteristics such as: (i) heavy-hitters that tra...

متن کامل

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions

ABSTRACT Minwise hashing is a standard technique in the context of search for approximating set similarities. The recent work [27] demonstrated a potential use of b-bit minwise hashing [26] for batch learning on large data. However, several critical issues must be tackled before one can apply b-bit minwise hashing to the volumes of data often used industrial applications, especially in the cont...

متن کامل

An Ensemble Diversity Approach to Binary Hashing

Introduction Information retrieval tasks such as searching for a query image or document in a database are essentially a nearest-neighbor search. When the dimensionality of the query and the size of the database is large, approximate search is necessary. We focus on binary hashing, where the query and database are mapped onto low-dimensional binary vectors, where the search is performed. This h...

متن کامل

Locality-Sensitive Hashing with Margin Based Feature Selection

We propose a learning method with feature selection for Locality-Sensitive Hashing. Locality-Sensitive Hashing converts feature vectors into bit arrays. These bit arrays can be used to perform similarity searches and personal authentication. The proposed method uses bit arrays longer than those used in the end for similarity and other searches and by learning selects the bits that will be used....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008