Jayashree Mohan

According to our database, Jayashree Mohan authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference.

Aditya K. Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar

CoRR, 2024

ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers.

Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma

CoRR, 2024

Metron: Holistic Performance Evaluation Framework for LLM Inference Systems.

Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov

CoRR, 2024

vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention.

Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar

CoRR, 2024

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

Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

VIDUR: A Large-Scale Simulation Framework for LLM Inference.

Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

2023

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee

CoRR, 2023

Project Silica: Towards Sustainable Cloud Archival Storage in Glass.

Patrick Anderson, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Trong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan A. Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2022

Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters.

Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021

Analyzing and Mitigating Data Stalls in DNN Training.

Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram

Proc. VLDB Endow., 2021

Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters.

Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram

CoRR, 2021

Memory Optimization for Deep Networks.

Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl

Proceedings of the 9th International Conference on Learning Representations, 2021

CheckFreq: Frequent, Fine-Grained DNN Checkpointing.

Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

2020

INSTalytics: Cluster Filesystem Co-design for Big-data Analytics.

Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia

ACM Trans. Storage, 2020

2019

CrashMonkey and ACE: Systematically Testing File-System Crash Consistency.

Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram

ACM Trans. Storage, 2019

Analyzing GDPR Compliance Through the Lens of Privacy Policy.

Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019

Recipe: converting concurrent DRAM indexes to persistent-memory indexes.

Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

2018

Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing.

Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

2017

Analyzing IO Amplification in Linux File Systems.

Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram

CoRR, 2017

Storage on Your SmartPhone Uses More Energy Than You Think.

Jayashree Mohan, Dhathri Purohith, Matthew Halpern, Vijay Chidambaram, Vijay Janapa Reddi

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

A reinforcement learning approach to optimize downloads over mobile networks.

Jayashree Mohan, Angad Vittal, K. Chandrasekaran, Bhaskar Krishnamachari

Proceedings of the 9th International Conference on Communication Systems and Networks, 2017

The Dangers and Complexities of SQLite Benchmarking.

Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram

Proceedings of the 8th Asia-Pacific Workshop on Systems, Mumbai, India, September 2, 2017, 2017

2016

Optimizing Downloads over Random Duration Links in Mobile Networks.

Amber Bhargava, Spencer Congero, Timothy Ferrell, Alex Jones, Leo Linsky, Jayashree Mohan, Bhaskar Krishnamachari

Proceedings of the 25th International Conference on Computer Communication and Networks, 2016

2015

Smart and Secure Monitoring of Industrial Environments using IoT.

Shruthi Puranik, Jayashree Mohan, K. Chandrasekaran

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015