부산대학교 도서관

In this work, we present our findings regarding performance benchmarking of scientific calculations embedded into Singularity containers. We evaluate storage and parallelization performance, running jobs on a personal computer cluster. We demonstrate that containerization does not detrimentally impact the overall utilization and CPU time usage of jobs for intra-node parallelization, especially compared to the overhead of parallelization itself. For inter-node parallelization using MPI, we find that of its configurations, Singularity's bind model exhibits slightly superior efficiency. Regarding storage benchmarking, we find that using the /dev/shm in-memory filesystem yields optimal performance when it is feasible, otherwise the using host native file system with bind mounts serves as a viable alternative.