Presentation
Affinity-based Optimizations of Homomorphic Encryption Operations on Processing-in-DRAM
DescriptionProcessing-in-Memory (PIM) enables efficient computation of heavy workloads. Motivated by its capabilities, we investigate its potential ability in accelerating Fully Homomorphic Encryption (FHE), a domain known for its colossal computational demands. We present affinity-based optimizations confronting challenges in optimizing the extensive data processing of FHE within PIM's unique architectural constraints, focusing on the balance between parallelism and data affinity. Our novel scheduling methodology minimizes remote data access while reducing penalties by loss in parallelism. We evaluate our solution on an existing PIM-HBM system, achieving 4.55x-216.56x speedup when computing real-world workloads over the TFHE, compared to previous works.
Event Type
Work-in-Progress Poster
TimeWednesday, June 265:00pm - 6:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security