Search Results for author: Midhilesh Elavazhagan

Found 2 papers, 1 papers with code

Demystifying Platform Requirements for Diverse LLM Inference Use Cases

1 code implementation3 Jun 2024 Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna

Ultimately, this work sheds light on the platform design considerations for unlocking the full potential of large language models across a spectrum of applications.

TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning

no code implementations11 Apr 2023 William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Samvit Kaul, Swati Gupta, Tushar Krishna

To this end, this paper introduces TACOS, an automated synthesizer that generates topology-aware collective algorithms for common distributed machine learning collectives across arbitrary input network topologies.

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