89 citations · 214 across the 26 of their papers we have counts for
27 papers
Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders
Rajat Bhattacharjya, Biswadip Maity, Nikil Dutt
Viterbi decoders are widely used in communication systems, natural language processing (NLP), and other domains. While Viterbi decoders are compute-intensive and power-hungry, we c…
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
Mingoo Ji, Saehanseul Yi, Changjin Koo +4
When executing a deep neural network (DNN), its model parameters are loaded into GPU memory before execution, incurring a significant GPU memory burden. There are studies that redu…
MARS: Middleware for Adaptive Reflective Computer Systems
Tiago Mück, Bryan Donyanavard, Biswadip Maity +2
Self-adaptive approaches for runtime resource management of manycore computing platforms often require a runtime model of the system that represents the software organization or th…
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving
Saehanseul Yi, Tae-Wook Kim, Jong-Chan Kim +1
The increasing computing demands of autonomous driving applications make energy optimizations critical for reducing battery capacity and vehicle weight. Current energy optimization…
Dynamic Reliability Management in Neuromorphic Computing
Shihao Song, Jui Hanamshet, Adarsha Balaji +5
Neuromorphic computing systems uses non-volatile memory (NVM) to implement high-density and low-energy synaptic storage. Elevated voltages and currents needed to operate NVMs cause…
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Adarsha Balaji, Shihao Song, Twisha Titirsha +6
Recently, both industry and academia have proposed many different neuromorphic architectures to execute applications that are designed with Spiking Neural Network (SNN). Consequent…