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DTSTART:19700308T020000
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DTSTAMP:20260202T201246Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T080000
DTEND;TZID=America/Chicago:20251120T170000
UID:submissions.supercomputing.org_SC25_sess533_post108@linklings.com
SUMMARY:MPI-SGX: Enabling Confidential Computing for MPI Parallel Applicat
 ions with Intel SGX Technology
DESCRIPTION:Kota Shimojima (The University of Electro-Communications, RIKE
 N Center for Computational Science (R-CCS)); Hayato Yamaki and Hiroki Hond
 a (The University of Electro-Communications); Shinichiro Matsuo (Georgetow
 n University); Atsuko Takefusa (National Institute of Informatics, Japan; 
 RIKEN Center for Computational Science (R-CCS)); and Shinobu Miwa (The Uni
 versity of Electro-Communications, RIKEN Center for Computational Science 
 (R-CCS))\n\nBig data and deep learning workloads often require handling se
 nsitive data, but security mechanisms in current supercomputers mainly pro
 tect against external threats, leaving risks of insider leakage. As a resu
 lt, supercomputers remain unsuitable for confidential applications. To add
 ress this challenge, we propose the first SGX-based parallel computing sys
 tem with a secure MPI library, MPI-SGX. MPI-SGX enables MPI processes acro
 ss 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 co
 mmunication latency and a 49% reduction in bandwidth compared to the basel
 ine, but successfully achieves confidentiality. In the poster session, we 
 will present the design of the SGX-based system and MPI-SGX, report detail
 ed experimental findings, and discuss directions for improving performance
  and expanding the scope of secure HPC.\n\nTag: Research & ACM SRC Posters
 \n\nRegistration Category: Technical Program Reg Pass\n\nSession Chairs: K
 ento Sato (RIKEN Center for Computational Science (R-CCS)); Chris Schlipal
 ius (Pawsey Supercomputing Research Centre; Commonwealth Scientific and In
 dustrial Research Organisation (CSIRO), Australia); and Anja Gerbes (Georg
 -August-Universität Göttingen)\n\n
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