RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars von Jain, Shubham, Sengupta, Abhronil, Roy, Kaushik, Raghunathan, Anand

Volltext

Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare von Mozaffari-Kermani, Mehran, Sur-Kolay, Susmita, Raghunathan, Anand, Jha, Niraj K.

Volltext

Analysis and characterization of inherent application resilience for approximate computing von Chippa, Vinay K., Chakradhar, Srimat T., Roy, Kaushik, Raghunathan, Anand

Volltext

Accelerating DNN Training Through Selective Localized Learning von Krithivasan, Sarada, Sen, Sanchari, Venkataramani, Swagath, Raghunathan, Anand

Volltext

Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks von Nallathambi, Abinand, Sen, Sanchari, Raghunathan, Anand, Chandrachoodan, Nitin

Volltext

Substitute-and-simplify: A unified design paradigm for approximate and quality configurable circuits von Venkataramani, Swagath, Roy, Kaushik, Raghunathan, Anand

Volltext

IMPACT: IMPrecise adders for low-power approximate computing von Gupta, V., Mohapatra, D., Park, S. P., Raghunathan, A., Roy, K.

Volltext bestellen

MixTrain: accelerating DNN training via input mixing von Krithivasan, Sarada, Sen, Sanchari, Venkataramani, Swagath, Raghunathan, Anand

Volltext

LRMP: Layer Replication with Mixed Precision for spatial in-memory DNN accelerators von Nallathambi, Abinand, Bose, Christin David, Haensch, Wilfried, Raghunathan, Anand

Volltext

Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks von Aketi, Sai Aparna, Roy, Sourjya, Raghunathan, Anand, Roy, Kaushik

Volltext

DWM-TAPESTRI - An energy efficient all-spin cache using domain wall shift based writes von Venkatesan, Rangharajan, Sharad, Mrigank, Roy, Kaushik, Raghunathan, Anand

Volltext

Energy-Efficient Long-term Continuous Personal Health Monitoring von Nia, Arsalan Mohsen, Mozaffari-Kermani, Mehran, Sur-Kolay, Susmita, Raghunathan, Anand, Jha, Niraj K.

Volltext

Approximate Computing for Long Short Term Memory (LSTM) Neural Networks von Sen, Sanchari, Raghunathan, Anand

Volltext

Vibration-based secure side channel for medical devices von Younghyun Kim, Woo Suk Lee, Raghunathan, Vijay, Jha, Niraj K., Raghunathan, Anand

Volltext

CxDNN: Hardware-software Compensation Methods for Deep Neural Networks on Resistive Crossbar Systems von Jain, Shubham, Raghunathan, Anand

Volltext

STeP-CiM: Strain-Enabled Ternary Precision Computation-In-Memory Based on Non-Volatile 2D Piezoelectric Transistors von Thakuria, Niharika, Elangovan, Reena, Thirumala, Sandeep K., Raghunathan, Anand, Gupta, Sumeet K.

Volltext

A Trusted Virtual Machine in an Untrusted Management Environment von Chunxiao Li, Raghunathan, Anand, Jha, Niraj K.

Volltext

Computing in Memory With Spin-Transfer Torque Magnetic RAM von Jain, Shubham, Ranjan, Ashish, Roy, Kaushik, Raghunathan, Anand

Volltext

Low-Power Digital Signal Processing Using Approximate Adders von Gupta, V., Mohapatra, D., Raghunathan, A., Roy, K.

Volltext

Efficient Batched Inference in Conditional Neural Networks von Selvam, Surya, Nagarajan, Amrit, Raghunathan, Anand

Volltext