50 citations · 100 across the 6 of their papers we have counts for
6 papers
Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM
Ahmed Mamdouh, Haoran Geng, Michael Niemier +2
Processing-in-Memory (PIM) enhances memory with computational capabilities, potentially solving energy and latency issues associated with data transfer between memory and processor…
Privacy Preserving In-memory Computing Engine
Haoran Geng, Jianqiao Mo, Dayane Reis +5
Privacy has rapidly become a major concern/design consideration. Homomorphic Encryption (HE) and Garbled Circuits (GC) are privacy-preserving techniques that support computations o…
iMARS: An In-Memory-Computing Architecture for Recommendation Systems
Mengyuan Li, Ann Franchesca Laguna, Dayane Reis +3
Recommendation systems (RecSys) suggest items to users by predicting their preferences based on historical data. Typical RecSys handle large embedding tables and many embedding tab…
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption
Dayane Reis, Haoran Geng, Michael Niemier +1
This paper proposes IMCRYPTO, an in-memory computing (IMC) fabric for accelerating AES encryption and decryption. IMCRYPTO employs a unified structure to implement encryption and d…
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption
Dayane Reis, Jonathan Takeshita, Taeho Jung +2
Homomorphic encryption (HE) allows direct computations on encrypted data. Despite numerous research efforts, the practicality of HE schemes remains to be demonstrated. In this rega…
Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures
Di Gao, Dayane Reis, Xiaobo Sharon Hu +1
Computing-in-Memory (CiM) architectures aim to reduce costly data transfers by performing arithmetic and logic operations in memory and hence relieve the pressure due to the memory…