Characterization of HE kernels on commercial UPMEM PIM identifies modular multiplication and per-bank capacity as dominant bottlenecks and concludes PIM becomes competitive with CPU/GPU once those are addressed.
25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2 TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications,
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HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System
Characterization of HE kernels on commercial UPMEM PIM identifies modular multiplication and per-bank capacity as dominant bottlenecks and concludes PIM becomes competitive with CPU/GPU once those are addressed.