Bloom Filters provide space-efficient storage of sets at the cost of a probability of false positives on membership queries. The size of the filter must be defined a priori bas...
—An increasing number of architectural techniques rely on hardware counting bloom filters (CBFs) to improve upon the enegy, delay and complexity of various processor structures. ...
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Associative memories offer high levels of parallelism in matching a query against stored entries. We design and analyze an architecture which uses a single lookup into a Ternary C...
— Bloom filter is a space-efficient randomized data structure for group membership query. It is widely used in networking applications which involve the packet header/content i...