Doctoral student Chris Egersdoerfer, who is advised by Dong Dai, associate professor in the Department of Computer and Information Sciences, won the Scalable Storage Competition (SSC24) by designing and implementing FSAgent, an autonomous agent capable of independently tuning complex parallel file systems in HPC environments. SSC is a high-profile, multiteam contest organized by GWDG that challenges participants to design and optimize high-performance, scalable storage solutions for real HPC workloads. The concept behind FSAgent was later developed into a paper, which has been accepted for presentation at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’25), one of the premier venues in the high-performance computing field.
Doctoral student wins competition
