79 citations · 208 across the 29 of their papers we have counts for
4 papers · 1 filter
HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator
Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar +3
Processing-In-Memory (PIM) architectures offer a promising approach to accelerate Graph Neural Network (GNN) training and inference. However, various PIM devices such as ReRAM, FeF…
THERMOS: Thermally-Aware Multi-Objective Scheduling of AI Workloads on Heterogeneous Multi-Chiplet PIM Architectures
Alish Kanani, Lukas Pfromm, Harsh Sharma +3
Chiplet-based integration enables large-scale systems that combine diverse technologies, enabling higher yield, lower costs, and scalability, making them well-suited to AI workload…
Designing High-Performance and Thermally Feasible Multi-Chiplet Architectures enabled by Non-bendable Glass Interposer
Harsh Sharma, Janardhan Rao Doppa, Umit Y. Ogras +1
Multi-chiplet architectures enabled by glass interposer offer superior electrical performance, enable higher bus widths due to reduced crosstalk, and have lower capacitance in the…
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…