Today, high-throughput DNA sequencing is the main source of data for most genomic applications. Genome sequencing has become part of everyday life to identify, for example, genetic mutations to diagnose rare diseases, or to determine cancer subtypes for guiding treatment options.
Currently, genomic data is processed in energy-intensive bioinformatics centers, which must transfer data via Internet, consuming considerable amounts of energy and wasting time. There is therefore a need for fast, energy-efficient and cost-effective technologies to significantly reduce costs, computation time and energy consumption.
The GenoPIM project aims to leverage emerging in-memory processing technologies to enable powerful edge computing. The project focuses on co-designing algorithms and data structures commonly used in genomics with PIM to achieve the best cost, energy, and time benefits.
Starting date: January 2022
Detailed decrption of the GenoPIM project: Presentation.pdf