4 citations · 4 across the 2 of their papers we have counts for
6 papers
CWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu +7
AI power demand is growing at an unprecedented rate while power grids are often ailing and struggle to keep up. Grid expansion comes with high capital expenditure and long-distance…
SKYLINK: Scalable and Resilient Link Management in LEO Satellite Network
Wanja de Sombre, Arash Asadi, Debopam Bhattacherjee +2
The rapid growth of space-based services has established LEO satellite networks as a promising option for global broadband connectivity. Next-generation LEO networks leverage inter…
CosmicDancePro -- Measuring LEO satellite's orbital decay and network connectivity implications during solar storms
Suvam Basak, Amitangshu Pal, Debopam Bhattacherjee
The May 2024 solar superstorm highlighted the vulnerability of rapidly expanding low Earth orbit (LEO) satellite networks to severe space weather events. To systematically evaluate…
Improving training time and GPU utilization in geo-distributed language model training
Palak, Tella Rajashekhar Reddy, Bhaskar Kataria +4
The widespread adoption of language models (LMs) has caused a huge surge in demand for GPUs. Training large LMs requires tens of thousands of GPUs and housing them in the same data…
BeLLMan: Controlling LLM Congestion
Tella Rajashekhar Reddy, Atharva Deshmukh, Karan Tandon +3
Large language model (LLM) applications are blindfolded to the infrastructure underneath and generate tokens autoregressively, indifferent to the system load, thus risking inferenc…
AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron
Tella Rajashekhar Reddy, Palak, Rohan Gandhi +8
AI power demand is growing unprecedentedly thanks to the high power density of AI compute and the emerging inferencing workload. On the supply side, abundant wind power is waiting…