49 citations · 191 across the 35 of their papers we have counts for
35 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 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…
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…
Resource-aware scheduling of multiple quantum circuits on a hardware device
Debasmita Bhoumik, Ritajit Majumdar, Susmita Sur-Kolay
Recent quantum technologies and quantum error-correcting codes emphasize the requirement for arranging interacting qubits in a nearest-neighbor (NN) configuration while mapping a q…
Scalable Test Generation to Trigger Rare Targets in High-Level Synthesizable IPs for Cloud FPGAs
Mukta Debnath, Animesh Basak Chowdhury, Debasri Saha +1
High-Level Synthesis (HLS) has transformed the development of complex Hardware IPs (HWIP) by offering abstraction and configurability through languages like SystemC/C++, particular…
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI
Rikathi Pal, Sudeshna Mondal, Aditi Gupta +4
In medical imaging, segmentation and localization of spinal tumors in three-dimensional (3D) space pose significant computational challenges, primarily stemming from limited data a…