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20202024
most citedUsing GANs to Synthesise Minimum Training Data for Deepfake Generation

5 citations · 7 across the 8 of their papers we have counts for

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cs.ET2024

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…

cs.ET2024

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…

cs.ET2023★ 1 cited

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…

cs.ET2023

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…

cs.ET2023

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…