The BioPIM Project aims to leverage the emerging processing-in-memory (PIM) technologies to accelerate #bioinformatics applications while reducing energy requirements and enabling powerful edge computing in mobile devices.
We’re excited to share our new position paper from the BioPIM Consortium: "Processing-in-memory for genomics workloads", published online in IEEE Micro, and will be a part of the upcoming Special Issue on Data-Centric Computing. Thread below 🧵👇
Our focus? Hardware-software co-design.
We are optimizing: genomic data analysis algorithms using specialized data structures and multiple PIM architectures.
The goal: Unprecedented cost, energy, and time savings for life sciences.
Last day of #genomeinformatics24! We have presented our work in @ProjectBioPIM with talks from @calkan_cs and @camiladuitama1 and a poster by @zulal_b, increasing the awareness of hardware acceleration in the community.
We held our third plenary meeting for the BioPIM Project in beautiful Zurich, marking the close of our second review period. Since our last meeting in May, we have published three additional papers, with several more submitted and available as preprints.