10 citations · 10 across the 2 of their papers we have counts for
3 papers
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa +2
Graph Neural Network (GNN) is a variant of Deep Neural Networks (DNNs) operating on graphs. However, GNNs are more complex compared to traditional DNNs as they simultaneously exhib…
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration
Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim +3
Heterogeneous manycore architectures are the key to efficiently execute compute- and data-intensive applications. Through silicon via (TSV)-based 3D manycore system is a promising…
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa +3
The rising use of deep learning and other big-data algorithms has led to an increasing demand for hardware platforms that are computationally powerful, yet energy-efficient. Due to…