research
∙
08/04/2023
Privacy Preserving In-memory Computing Engine
Privacy has rapidly become a major concern/design consideration. Homomor...
share
research
∙
07/27/2023
Accelerating Polynomial Modular Multiplication with Crossbar-Based Compute-in-Memory
Lattice-based cryptographic algorithms built on ring learning with error...
research
∙
07/25/2022
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search
In a number of machine learning models, an input query is searched acros...
research
∙
02/18/2022
iMARS: An In-Memory-Computing Architecture for Recommendation Systems
Recommendation systems (RecSys) suggest items to users by predicting the...
research
∙
12/04/2021
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption
This paper proposes IMCRYPTO, an in-memory computing (IMC) fabric for ac...
research
∙
06/22/2021
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing
Hyperdimensional Computing (HDC) is an emerging computational framework ...
research
∙
06/18/2021
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories
The memory wall bottleneck is a key challenge across many data-intensive...
research
∙
11/13/2020
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories
Nearest neighbor (NN) search is an essential operation in many applicati...
research
∙
05/05/2020
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption
Homomorphic encryption (HE) allows direct computations on encrypted data...
research
∙
05/29/2019
Nonvolatile Spintronic Memory Cells for Neural Networks
A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-d...
research
∙
02/28/2019
Application-level Studies of Cellular Neural Network-based Hardware Accelerators
As cost and performance benefits associated with Moore's Law scaling slo...
research
∙
10/30/2018