2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AR2024
HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration
Pratyush Dhingra, Janardhan Rao Doppa, Partha Pratim Pande
Transformers have revolutionized deep learning and generative modeling to enable unprecedented advancements in natural language processing tasks and beyond. However, designing hard…
cs.AR2024★ 2 cited
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators
Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar +3
Resistive random-access memory (ReRAM)-based processing-in-memory (PIM) architecture is an attractive solution for training Graph Neural Networks (GNNs) on edge platforms. However,…