Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs

Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs

This paper is concerned with Field Programmable Gate Arrays (FPGA)-based systems for energy-efficient high-throughput string comparison. Modern applications which involve comparisons across large data sets—such as large sequence sets in molecular biology—are by their nature compu...

Full description

Bibliographic Details
Main Authors: Sarah Pilz, Florian Porrmann, Martin Kaiser, Jens Hagemeyer, James M. Hogan, Ulrich Rückert
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Algorithms
Subjects:
fpga
bioinformatics
multiple string matching
parallel computing
hamming distance
locality sensitive hashing
hardware acceleration
parallel system architecture
Online Access:https://www.mdpi.com/1999-4893/13/2/47

Internet

https://www.mdpi.com/1999-4893/13/2/47

Similar Items