4 papers
AFarePart: Accuracy-aware Fault-resilient Partitioner for DNN Edge Accelerators
Mukta Debnath, Krishnendu Guha, Debasri Saha +2
Deep Neural Networks (DNNs) are increasingly deployed across distributed and resource-constrained platforms, such as System-on-Chip (SoC) accelerators and edge-cloud systems. DNNs…
Efficient Memristive Spiking Neural Networks Architecture with Supervised In-Situ STDP Method
Santlal Prajapati, Susmita Sur-Kolay, Soumyadeep Dutta
Memristor-based Spiking Neural Networks (SNNs) with temporal spike encoding enable ultra-low-energy computation, making them ideal for battery-powered intelligent devices. This pap…
Efficient and Fault-Tolerant Memristive Neural Networks with In-Situ Training
Santlal Prajapat, Manobendra Nath Mondal, Susmita Sur-Kolay
Neuromorphic architectures, which incorporate parallel and in-memory processing, are crucial for accelerating artificial neural network (ANN) computations. This work presents a nov…
Distributed Scheduling of Quantum Circuits with Noise and Time Optimization
Debasmita Bhoumik, Ritajit Majumdar, Amit Saha +1
Quantum computers are currently noisy, particularly without error correction and fault tolerance. Methods like error suppression and mitigation are widely used to improve performan…