Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...
—A framework for designing a family of novel fast CRC generation algorithms is presented. Our algorithms can ideally read arbitrarily large amounts of data at a time, while optim...
This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...
Pattern matching relies on deterministic finite automata (DFA) to search for predefined patterns. While a bit-DFA method is recently proposed to exploit the parallelism in pattern...
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ s. This p...