Onur Mutlu
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The paper characterizes Homomorphic Encryption (HE) operations on a real-world Processing-In-Memory (PIM) system, demonstrating that while PIM is a viable alternative to CPUs/GPUs, performance is limited by the lack of native modular multiplication and insufficient per-bank memory capacity.
This paper investigates the potential of real-world Processing-in-Memory (PIM) architectures, specifically using UPMEM, to accelerate cryptographic algorithms, demonstrating that distributing computation across multiple memory ranks significantly improves performance.
Papers
Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM
This paper investigates the potential of real-world Processing-in-Memory (PIM) architectures, specifically using UPMEM, to accelerate cryptographic algorithms, demonstrating that distributing computat…