5 citations · 7 across the 8 of their papers we have counts for
8 papers
Resistive Memory for Computing and Security: Algorithms, Architectures, and Platforms
Simranjeet Singh, Farhad Merchant, Sachin Patkar
Resistive random-access memory (RRAM) is gaining popularity due to its ability to offer computing within the memory and its non-volatile nature. The unique properties of RRAM, such…
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…
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…