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UID:submissions.supercomputing.org_SC24_sess533_post148@linklings.com
SUMMARY:Assessing Matrix Multiplication Performance with Fully Homomorphic
  Encryption
DESCRIPTION:Justo Molina, Rocío Carratalá-Sáez, Manuel F. Dolz, and Sandra
  Catalán (Jaume I University, Spain)\n\nAs data from various domains is in
 creasingly shared and processed in the cloud, Homomorphic Encryption (HE) 
 provides a crucial solution for ensuring privacy in the post-quantum era. 
 In this work, we evaluate the performance and accuracy of the HE matrix mu
 ltiplication leveraging SEAL\nlibrary kernels. Moreover, we compare it aga
 inst EVA, which offers optimized HE parameters to conduct this operation.\
 n\nNot only performance results are shown in our poster — check out how wo
 rking with more appropriate parameters reduces the execution time while ke
 eping the accuracy of the result.\n\nRegistration Category: Tech Program R
 eg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alex
 ander University, Erlangen-Nuremberg; Erlangen National High Performance C
 omputing Center); Sally Ellingson (University of Kentucky); and Alan Sussm
 an (University of Maryland)\n\n
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