Presentation
MPI-SGX: Enabling Confidential Computing for MPI Parallel Applications with Intel SGX Technology
DescriptionBig 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.
Event Type
Research and ACM SRC Posters
TimeTuesday, 18 November 20258:00am - 5:00pm CST
LocationSecond Floor Atrium
Archive
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