efficient/ffbf
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
master
Could not load branches
Nothing to show
Could not load tags
Nothing to show
{{ refName }}
default
Name already in use
A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code
-
Clone
Use Git or checkout with SVN using the web URL.
Work fast with our official CLI. Learn more.
- Open with GitHub Desktop
- Download ZIP
Sign In Required
Please sign in to use Codespaces.
Launching GitHub Desktop
If nothing happens, download GitHub Desktop and try again.
Launching GitHub Desktop
If nothing happens, download GitHub Desktop and try again.
Launching Xcode
If nothing happens, download Xcode and try again.
Launching Visual Studio Code
Your codespace will open once ready.
There was a problem preparing your codespace, please try again.
This is the implementation of a feed-forward Bloom filter. It provides extremely fast fixed-pattern matching for up to millions of patterns (similar to the functionality of 'fgrep'). AUTHORS: Iulian Moraru and David Andersen School of Computer Science, Carnegie Mellon University For details about the algorithm and citations please use the article "Exact Pattern Matching with Feed-Forward Bloom filters" by Iulian Moraru and David G. Andersen URL: http://www.siam.org/proceedings/alenex/2011/alx11_01_morarui.pdf We have used an older version of the algorithm for malware scanning. Details in: "SplitScreen: Enabling Efficient, Distributed Malware Detection" URL: http://www.usenix.org/events/nsdi10/tech/full_papers/cha.pdf ================== Repository structure: /src/rabin-karp The implementation of a feed-forward Bloom filter for the x86 architecture. /src/gpgpu The implementation of a feed-forward Bloom filter for CUDA. /src/hashes A compilation of hash functions that we've tested for the feed-forward Bloom filter.
About
Feed-forward Bloom filters
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published