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DTSTART;TZID=America/Denver:20231114T163000
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UID:submissions.supercomputing.org_SC23_sess171_pap540@linklings.com
SUMMARY:HEAR: Homomorphically Encrypted Allreduce
DESCRIPTION:Marcin Chrapek, Mikhail Khalilov, and Torsten Hoefler (ETH Zur
 ich - Swiss Federal Institute of Technology)\n\nAllreduce is one of the mo
 st commonly used collective operations. Its latency and bandwidth can be i
 mproved by offloading the calculations to the network. However, no way exi
 sts to conduct such offloading securely; in state-of-the-art solutions, th
 e data is passed unprotected into the network. Security is a significant c
 oncern for High-Performance Computing applications, but achieving it while
  maintaining performance remains challenging. We present HEAR, the first h
 igh-performance system for securing in-network compute and Allreduce opera
 tions based on homomorphic encryption. HEAR implements carefully designed 
 and modified encryption schemes for the most common Allreduce functions an
 d leverages communication domain knowledge in MPI programs to obtain decry
 ption and encryption routines with high performance. HEAR operates on inte
 gers and floats with no code base and no or little hardware changes. We de
 sign and evaluate HEAR, showing its minimal overhead, and open-source our 
 implementation. HEAR represents the first step towards achieving confident
 ial HPC.\n\nTag: Distributed Computing, Message Passing, Programming Frame
 works and System Software\n\nRegistration Category: Tech Program Reg Pass\
 n\nAward Finalist: Best Student Paper Finalist\n\nReproducibility Badges: 
 Artifact Available\n\nSession Chair: Patrick Bridges (University of New Me
 xico)\n\n
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