89 citations · 314 across the 33 of their papers we have counts for
5 papers · 1 filter
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing
Adarsha Balaji, Shihao Song, Anup Das +4
Neuromorphic hardware with non-volatile memory (NVM) can implement machine learning workload in an energy-efficient manner. Unfortunately, certain NVMs such as phase change memory…
Mapping Spiking Neural Networks to Neuromorphic Hardware
Adarsha Balaji, Anup Das, Yuefeng Wu +7
Neuromorphic hardware platforms implement biological neurons and synapses to execute spiking neural networks (SNNs) in an energy-efficient manner. We present SpiNeMap, a design met…
Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories
Shihao Song, Anup Das, Onur Mutlu +1
Phase-change memory (PCM) devices have multiple banks to serve memory requests in parallel. Unfortunately, if two requests go to the same bank, they have to be served one after ano…
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware
Anup Das, Yuefeng Wu, Khanh Huynh +3
Spiking Neural Networks (SNNs) are widely deployed to solve complex pattern recognition, function approximation and image classification tasks. With the growing size and complexity…
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG
Anup Das, Francky Catthoor, Siebren Schaafsma
Heartbeat classification using electrocardiogram (ECG) data is a vital assistive technology for wearable health solutions. We propose heartbeat feature classification based on a no…