Authors

Shreejith Shanker

Publications 2

Preprint Open access

Co-Optimizing Graph Sparsification and Approximate Computing for Energy-Efficient FPGA-Based GCN Inference

Nathaniel Kaye Mellor, Shreejith Shanker, George Floros · 2026

Graph Convolutional Networks (GCNs) have emerged as a powerful framework for learning from graph-structured data, yet their deployment on resource-constrained edge platforms remains challenging due to the computational and memory demands of sparse graph aggregation. This work presents an FPGA-based GCN accelerator that …

Preprint Open access

Reinforcement Learning-Based Optimization of Workload-Aware Power Delivery Networks

Oran Hayes, Maria Pantazi-Kypraiou, Athanasios Tziouvaras et al. · 2026

Power Delivery Networks (PDNs) are critical components of modern VLSI chips, providing stable voltage levels while satisfying electromigration (EM) and IR-drop constraints. Conventional PDN design methodologies typically rely on worst-case assumptions, often resulting in over-provisioned networks and inefficient use of …

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