Mohan, Jayashree

POD-A ttention : Unlocking Full Prefill-Decode Overlap for Faster LLM Inference

Kamath, A. K., Prabhu, R., Mohan, J., Peter, S., Ramjee, R., & Panwar, A. (2025) · Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 26

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

Agrawal, A., Kedia, N., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B. S., Tumanov, A., & Ramjee, R. (2024) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 24

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Agrawal, A., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B. S., & Ramjee, R. (2023) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 20

Project Silica: Towards Sustainable Cloud Archival Storage in Glass

Anderson, P., Aranas, E., Assaf, Y., Behrendt, R., Black, R., Caballero, M., Cameron, P., Canakci, B., Chatzieleftheriou, A., Clarke, R., et al. (2025) · ACM Transactions on Storage

Advanced Data Storage TechnologiesCloud Computing and Resource Management

Cited by 13

QoServe: Breaking the Silos of LLM Inference Serving

Goel, K., Mohan, J., Kwatra, N., Anupindi, R. S., & Ramjee, R. (2026) · Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Cloud Computing and Resource ManagementSoftware System Performance and Reliability

Cited by 3