Regular Expressions (REs) are a computational kernel widely used for finding patterns in
data in compute-intensive tasks such as genomic markers research, signature-based …

Regular Expressions (RE) are widely used to find patterns among data, like in genomic
markers research for DNA analysis, deep packet inspection or signature-based detection for …

Text analytics has become increasingly important in the past few years because of the
substantial growth in the amount of research, business, and government needs. An efficient …

When performing queries for text analytics on unstructured text data, a large amount of the
processing time is spent on regular expressions and dictionary matching. In this paper we …

Multi-string matching (MSM) is a core technique searching a text string for all occurrences of
some string patterns. It is widely used in many applications. However, as the number of …

Extracting information from unstructured text data is an important and compute intensive
task. To cope with the ever growing amount of data, an accelerator architecture and compiler …

Computer architectures field is facing technological and architectural obstacles that are
limiting the general-purpose processor scaling in the delivered performance at a reasonable …

Data-intensive applications have become widespread in the years, especially in cloud-like
environments. Among them, Data Analytics (DA) and Machine Learning (ML) applications …

Multi-pattern matching is a core technique of many applications. However, many of the
existing algorithms cannot efficiently deal with large pattern sets or pattern sets with very …

Recent years have witnessed a massive growth of global data generated from web services,
social media networks, and science experiments, as well as the “tsunami” of Internet-of …