We study the energy, latency and area characteristics of two Counting Bloom Filter implementations using a commercial 0.13µm technology and full custom layouts. The first implementation, S-CBF, uses an SRAM array of counts and a shared counter. The second, L-CBF, utilizes an array of up/down linear feedback shift registers. Circuit level simulations demonstrate that for a 1K-entry CBF with a 15-bit count per entry, L-CBF is 3.7 or 1.6 times faster than the S-CBF depending on the operation. The L-CBF requires 2.3 or 1.4 times less energy per operation compared to the S-CBF. However, the L-CBF requires 3.2 times more area. We demonstrate that for one application of CBFs (early hit/miss detection for L1 caches [13] for an aggressive dynamicall...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....
Abstract. A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow mem...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....
the Counting Bloom Filter (CBF) is useful for real time applications where the time and space effici...
Bloom Filters are efficient randomized data structures for membership queries on a set with a certai...
Bloom filters are efficient randomized data structures for membership queries on a set with a certai...
International audienceBloom filters are space-efficient data structures for fast set membership quer...
Abstract—Bloom Filters are efficient randomized data struc-tures for membership queries on a set wit...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome th...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
Many network security applications require large virus signature sets to be maintained, retrieved, a...
The design trend of caches in modern processors continues to in-crease their capacity with higher as...
networking device algorithms. They implement fast set represen-tations to support membership queries...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....
Abstract. A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow mem...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....
the Counting Bloom Filter (CBF) is useful for real time applications where the time and space effici...
Bloom Filters are efficient randomized data structures for membership queries on a set with a certai...
Bloom filters are efficient randomized data structures for membership queries on a set with a certai...
International audienceBloom filters are space-efficient data structures for fast set membership quer...
Abstract—Bloom Filters are efficient randomized data struc-tures for membership queries on a set wit...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Within packet processing systems, lengthy memory accesses greatly reduce performance. To overcome th...
Bloom filters are space-efficient randomized data structures for fast membership queries, allowing f...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
Many network security applications require large virus signature sets to be maintained, retrieved, a...
The design trend of caches in modern processors continues to in-crease their capacity with higher as...
networking device algorithms. They implement fast set represen-tations to support membership queries...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....
Abstract. A counting Bloom filter (CBF) generalizes a Bloom filter data structure so as to allow mem...
Bloom filters are frequently used to identify malicious content like viruses in high speed networks....