Fast analysis of semi-structured or unstructured data is crucial for business decision making.
The amount of information, having no standard format (images, emails, text, XML, videos, etc.) continues to grow due to the high reliance on digital content in computer systems and makes searching/analysis more complex.
According to IDC predictions, 85% of the generated data will be unstructured by 2025 and much of this will be in a textual form. As the largest data source, unstructured data becomes a large ground for analytics and deploying AI applications in the company.
To do analytical processing against unstructured textual data, companies usually confront several obstacles and need to use specific approaches to handle them, such as Regular expression algorithms.
Grovf offers GRegeX IP- implementation of a standard regular expression algorithm on FPGA chip achieving 12.8 GB/s throughput with a single IP core. A wide range of supported regular expression functions allows developers to configure desired rules which can be handled in a chip without reducing the throughput.
- 12.8 GB/s throughput
- PCRE compatible
- Host drivers and reference examples for using in C
- Deployable both on Premise and on Cloud
Request a product demo.