79 citations · 172 across the 14 of their papers we have counts for
4 papers · 1 filter
Atleus: Accelerating Transformers on the Edge Enabled by 3D Heterogeneous Manycore Architectures
Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
Transformer architectures have become the standard neural network model for various machine learning applications including natural language processing and computer vision. However…
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat +2
Mobile system-on-chips (SoCs) are growing in their complexity and heterogeneity (e.g., Arm's Big-Little architecture) to meet the needs of emerging applications, including games an…
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…