most citedMARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem

8 citations · 10 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AR2026

GRAINS: Storage-Aware Algorithm-Architecture Co-Design Enabling High-Performance and Low-Cost Graph-Based Genome Analysis

Nika Mansouri Ghiasi, Harun Mustafa, Talu Güloglu +8

Graph-based representations of genome sequences have emerged as a powerful approach for representing massive genomic databases in an expressive and efficient way. Despite their ben…

cs.AR2026

Architecture for Health Initiative (Arch4Health): Computational Challenges in Health-Related Applications and the Role of Computer Architecture in Addressing Them

Nika Mansouri Ghiasi, Konstantina Koliogeorgi, Onur Mutlu

Recent biotechnological advances enable high-throughput, low-cost, and accurate biological data generation. This wealth of data enables unique opportunities for advancing healthcar…

cs.AR2026

GenPairX: A Hardware-Algorithm Co-Designed Accelerator for Paired-End Read Mapping

Julien Eudine, Chu Li, Zhuo Cheng +11

Genome sequencing has become a central focus in computational biology. A genome study typically begins with sequencing, which produces millions to billions of short DNA fragments k…

cs.AR2025

Revelator: Rapid Data Fetching via System-Software-Guided Hash-based Speculative Address Translation

Konstantinos Kanellopoulos, Konstantinos Sgouras, Harsh Songara +7

Address translation is a major performance bottleneck in modern computing systems. Predicting the physical address (PA) of requested data before address translation completes can h…

cs.AR20258 cited

MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem

Melina Soysal, Konstantina Koliogeorgi, Can Firtina +8

Raw signal genome analysis (RSGA) has emerged as a promising approach to enable real-time genome analysis by directly analyzing raw electrical signals. However, rapid advancements…

q-bio.GN20252 cited

Processing-in-memory for genomics workloads

William Andrew Simon, Leonid Yavits, Konstantina Koliogeorgi +12

Low-cost, high-throughput DNA and RNA sequencing (HTS) data is the backbone of the life sciences. Genome sequencing is now becoming a part of Predictive, Preventive, Personalized,…