MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Year: 2025
Type: conference-paper
Abstract: Conventional genome analysis relies on translating the noisy raw electrical signals generated by DNA sequencing technologies into nucleotide bases (i.e., A, C, G, and T) through a computationally-intensive process called basecalling.Raw signal genome analysis (RSGA) has emerged as a promising approach towards enabling real-time genome analysis by directly analyzing raw electrical signals without the need for basecalling.However, rapid advancements in sequencing technologies make it increasingly difficult for softwarebased RSGA to match the throughput of raw signal generation.Hardware-based RSGA acceleration has the potential to bridge the gap between software-based RSGA and sequencing throughput.
Institutions: ETH Zurich, King's College London
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G2342797219
OpenAlex ID: W4413411842