Jayashree Mohan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | QoServe: Breaking the Silos of LLM Inference Serving. | Kanishk Goel, Jayashree Mohan, Nipun Kwatra, Ravi Shreyas Anupindi, Ramachandran Ramjee |
| 2025 | ASPLOS | POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference. | Aditya K. Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar |
| 2025 | ASPLOS | vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention. | Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar |
| 2025 | CLOUD | ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving. | Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, igo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca |
| 2024 | OSDI | 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 |
| 2023 | SOSP | 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, Istvn Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong 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 |
| 2022 | OSDI | Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters. | Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram |
| 2021 | FAST | CheckFreq: Frequent, Fine-Grained DNN Checkpointing. | Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram |
| 2021 | ICLR | Memory Optimization for Deep Networks. | Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krhenbhl |
| 2019 | FAST | INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. | Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia |
| 2019 | VLDB | Analyzing GDPR Compliance Through the Lens of Privacy Policy. | Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram |
| 2019 | SOSP | Recipe: converting concurrent DRAM indexes to persistent-memory indexes. | Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram |
| 2018 | OSDI | Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing. | Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram |
| 2017 | COMSNETS | A reinforcement learning approach to optimize downloads over mobile networks. | Jayashree Mohan, Angad Vittal, K. Chandrasekaran, Bhaskar Krishnamachari |
| 2016 | ICCCN | Optimizing Downloads over Random Duration Links in Mobile Networks. | Amber Bhargava, Spencer Congero, Timothy Ferrell, Alex Jones, Leo Linsky, Jayashree Mohan, Bhaskar Krishnamachari |