1 citations · 1 across the 4 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training
Aditya K. Ranjan, Siddharth Singh, Cunyang Wei +1
Graph neural networks (GNNs) leverage the connectivity and structure of real-world graphs to learn intricate properties and relationships between nodes. Many real-world graphs exce…
cs.LG2025
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers
Siddharth Singh, Prajwal Singhania, Aditya Ranjan +9
Training and fine-tuning large language models (LLMs) with hundreds of billions to trillions of parameters requires tens of thousands of GPUs, and a highly scalable software stack.…