Processing-in-memory for genomics workloads

May 31, 2025 by W. Simon, Leonid Yavits, Konstantina Koliogeorgi, Yann Falevoz, Yoshihiro Shibuya, D. Lavenier, I. Boybat, Klea Zambaku, Berkan Sahin, Mohammad Sadrosadati, Onur Mutlu, A. Sebastian, R. Chikhi, The BioPIM Consortium, Can Alkan (IEEE Micro)

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, and Participatory (termed'P4') medicine. All genomic data are currently processed in energy-hungry computer clusters and centers, necessitating data transfer, consuming substantial energy, and wasting valuable time.