2 citations · 3 across the 4 of their papers we have counts for
4 papers
HE-PIM: Demystifying Homomorphic Operations on a Real-world Processing-in-Memory System
Harshita Gupta, Mayank Kabra, Jaewoo Park +9
Homomorphic encryption (HE) enables computation over encrypted data, offering strong privacy guarantees for untrusted computing environments. Practical adoption remains limited by…
SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
Jinfan Chen, Juan Gómez-Luna, Izzat El Hajj +2
Data movement between memory and processors is a major bottleneck in modern computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this bottleneck by performi…
Evaluating Homomorphic Operations on a Real-World Processing-In-Memory System
Harshita Gupta, Mayank Kabra, Juan Gómez-Luna +2
Computing on encrypted data is a promising approach to reduce data security and privacy risks, with homomorphic encryption serving as a facilitator in achieving this goal. In this…
DaPPA: A Unified Data-Parallel Programming Framework for Efficient Processing-in-Memory Execution
Geraldo F. Oliveira, Alain Kohli, David Novo +5
Processing-in-memory (PIM) alleviates data-movement bottlenecks by placing computation near or inside memory. Two general-purpose PIM paradigms are now practical: processing-near-m…