85 citations · 287 across the 21 of their papers we have counts for
26 papers
SoftFlow: Automated HW-SW Confidentiality Verification for Embedded Processors
Lennart M. Reimann, Jonathan Wiesner, Dominik Sisejkovic +2
Despite its ever-increasing impact, security is not considered as a design objective in commercial electronic design automation (EDA) tools. This results in vulnerabilities being o…
Should We Even Optimize for Execution Energy? Rethinking Mapping for MAGIC Design Style
Simranjeet Singh, Chandan Kumar Jha, Ankit Bende +5
Memristor-based logic-in-memory (LiM) has become popular as a means to overcome the von Neumann bottleneck in traditional data-intensive computing. Recently, the memristor-aided lo…
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines
Omar Ghazal, Simranjeet Singh, Tousif Rahman +8
In-memory computing for Machine Learning (ML) applications remedies the von Neumann bottlenecks by organizing computation to exploit parallelism and locality. Non-volatile memory d…
Integrated Architecture for Neural Networks and Security Primitives using RRAM Crossbar
Simranjeet Singh, Furqan Zahoor, Gokulnath Rajendran +4
This paper proposes an architecture that integrates neural networks (NNs) and hardware security modules using a single resistive random access memory (RRAM) crossbar. The proposed…
Gate Camouflaging Using Reconfigurable ISFET-Based Threshold Voltage Defined Logic
Elmira Moussavi, Animesh Singh, Dominik Sisejkovic +6
Most chip designers outsource the manufacturing of their integrated circuits (ICs) to external foundries due to the exorbitant cost and complexity of the process. This involvement…
Finite State Automata Design using 1T1R ReRAM Crossbar
Simranjeet Singh, Omar Ghazal, Chandan Kumar Jha +6
Data movement costs constitute a significant bottleneck in modern machine learning (ML) systems. When combined with the computational complexity of algorithms, such as neural netwo…