The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: Research Posters
Author: Kota Shimojima (The University of Electro-Communications, RIKEN Center for Computational Science (R-CCS)), Hayato Yamaki (The University of Electro-Communications), Hiroki Honda (The University of Electro-Communications), Shinichiro Matsuo (Georgetown University), Atsuko Takefusa (National Institute of Informatics, Japan; RIKEN Center for Computational Science (R-CCS)), Shinobu Miwa (The University of Electro-Communications, RIKEN Center for Computational Science (R-CCS))
Supervisor:
Abstract: Big data and deep learning workloads often require handling sensitive data, but security mechanisms in current supercomputers mainly protect against external threats, leaving risks of insider leakage. As a result, supercomputers remain unsuitable for confidential applications. To address this challenge, we propose the first SGX-based parallel computing system with a secure MPI library, MPI-SGX. MPI-SGX enables MPI processes across multiple SGX enclaves to communicate safely through encryption, without requiring code modifications. By combining MPI-SGX with SGX enclaves, our system supports confidential execution of MPI-based parallel applications. Experimental results show that our approach incurs a 6.6x increase in communication latency and a 49% reduction in bandwidth compared to the baseline, but successfully achieves confidentiality. In the poster session, we will present the design of the SGX-based system and MPI-SGX, report detailed experimental findings, and discuss directions for improving performance and expanding the scope of secure HPC.
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF