Our paper has been accepted to ICCAD!

We’re excited to share that one of our works, “FMiner: CPU-FPGA Heterogeneous Framework for Frequent Itemset Mining and Beyond,” has been accepted to the ‘IEEE/ACM International Conference on Computer-Aided Design (ICCAD)’!

Once again, our group proves that CPU-FPGA heterogeneous computing platforms have become a gold standard for maximizing accelerator efficacy by overcoming inherent bottlenecks and applying our novel application-driven cross-layer system architectural solutions to another new application domain: data mining.

Huge congratulations to our first author, Esmerald Aliaj at UC Irvine, and sincere thanks to my esteemed advisor, Professor Sang Woo Jun, for his invaluable guidance and support.😄