1 citations · 2 across the 5 of their papers we have counts for
5 papers
OTTER - Two Transistor - One RRAM Architecture for Reliable In-Memory-Computing in 28 nm CMOS Technology
Yang Chen, Daniele Storelli, Xinyi Zhao +20
This work presents OTTER, a 28 nm CMOS platform co-integrated with TaOx-based valence-change mechanism (VCM) RRAM, demonstrating a two-transistor-one-memristive-device (2T1R) archi…
In-Memory Mirroring: Cloning Without Reading
Simranjeet Singh, Ankit Bende, Chandan Kumar Jha +4
In-memory computing (IMC) has gained significant attention recently as it attempts to reduce the impact of memory bottlenecks. Numerous schemes for digital IMC are presented in the…
Error Detection and Correction Codes for Safe In-Memory Computations
Luca Parrini, Taha Soliman, Benjamin Hettwer +6
In-Memory Computing (IMC) introduces a new paradigm of computation that offers high efficiency in terms of latency and power consumption for AI accelerators. However, the non-ideal…
Experimental Validation of Memristor-Aided Logic Using 1T1R TaOx RRAM Crossbar Array
Ankit Bende, Simranjeet Singh, Chandan Kumar Jha +10
Memristor-aided logic (MAGIC) design style holds a high promise for realizing digital logic-in-memory functionality. The ability to implement a specific gate in a MAGIC design styl…
MemSPICE: Automated Simulation and Energy Estimation Framework for MAGIC-Based Logic-in-Memory
Simranjeet Singh, Chandan Kumar Jha, Ankit Bende +4
Existing logic-in-memory (LiM) research is limited to generating mappings and micro-operations. In this paper, we present~\emph{MemSPICE}, a novel framework that addresses this gap…