59 citations · 91 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
NeuroHammer: Inducing Bit-Flips in Memristive Crossbar Memories
Felix Staudigl, Hazem Al Indari, Daniel Schön +6
Emerging non-volatile memory (NVM) technologies offer unique advantages in energy efficiency, latency, and features such as computing-in-memory. Consequently, emerging NVM technolo…
Picosecond Multilevel Resistive Switching in Tantalum Oxide Thin Films
Ulrich Böttger, Moritz von Witzleben, Viktor Havel +4
The increasing demand for high-density data storage leads to an increasing interest in novel memory concepts with high scalability and the opportunity of storing multiple bits in o…