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Jayashree Mohan
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Journal Articles
- 2021
- [j3]Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
:
Analyzing and Mitigating Data Stalls in DNN Training. Proc. VLDB Endow. 14(5): 771-784 (2021) - 2020
- [j2]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. ACM Trans. Storage 15(4): 23:1-23:30 (2020) - 2019
- [j1]Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
:
CrashMonkey and ACE: Systematically Testing File-System Crash Consistency. ACM Trans. Storage 15(2): 14:1-14:34 (2019)
Conference and Workshop Papers
- 2024
- [c15]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
VIDUR: A Large-Scale Simulation Framework for LLM Inference. MLSys 2024 - [c14]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. OSDI 2024: 117-134 - 2023
- [c13]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
:
Project Silica: Towards Sustainable Cloud Archival Storage in Glass. SOSP 2023: 166-181 - 2022
- [c12]Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram:
Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters. OSDI 2022: 579-596 - 2021
- [c11]Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
:
CheckFreq: Frequent, Fine-Grained DNN Checkpointing. FAST 2021: 203-216 - [c10]Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram
, Philipp Krähenbühl:
Memory Optimization for Deep Networks. ICLR 2021 - 2019
- [c9]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. FAST 2019: 235-248 - [c8]Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram
:
Recipe: converting concurrent DRAM indexes to persistent-memory indexes. SOSP 2019: 462-477 - [c7]Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram:
Analyzing GDPR Compliance Through the Lens of Privacy Policy. Poly/DMAH@VLDB 2019: 82-95 - 2018
- [c6]Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
:
Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing. OSDI 2018: 33-50 - 2017
- [c5]Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
:
The Dangers and Complexities of SQLite Benchmarking. APSys 2017: 3:1-3:6 - [c4]Jayashree Mohan, Angad Vittal, K. Chandrasekaran
, Bhaskar Krishnamachari:
A reinforcement learning approach to optimize downloads over mobile networks. COMSNETS 2017: 9-14 - [c3]Jayashree Mohan, Dhathri Purohith, Matthew Halpern, Vijay Chidambaram
, Vijay Janapa Reddi:
Storage on Your SmartPhone Uses More Energy Than You Think. HotStorage 2017 - 2016
- [c2]Amber Bhargava, Spencer Congero, Timothy Ferrell, Alex Jones, Leo Linsky, Jayashree Mohan, Bhaskar Krishnamachari:
Optimizing Downloads over Random Duration Links in Mobile Networks. ICCCN 2016: 1-9 - 2015
- [c1]Shruthi Puranik, Jayashree Mohan, K. Chandrasekaran
:
Smart and Secure Monitoring of Industrial Environments using IoT. WCI 2015: 644-649
Informal and Other Publications
- 2024
- [i12]Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee:
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. CoRR abs/2403.02310 (2024) - [i11]Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar:
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention. CoRR abs/2405.04437 (2024) - [i10]Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov:
Vidur: A Large-Scale Simulation Framework For LLM Inference. CoRR abs/2405.05465 (2024) - [i9]Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov:
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR abs/2407.07000 (2024) - 2023
- [i8]Amey Agrawal
, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee:
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills. CoRR abs/2308.16369 (2023) - 2021
- [i7]Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram:
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters. CoRR abs/2110.06073 (2021) - 2020
- [i6]Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram:
Analyzing and Mitigating Data Stalls in DNN Training. CoRR abs/2007.06775 (2020) - [i5]Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl:
Memory Optimization for Deep Networks. CoRR abs/2010.14501 (2020) - 2019
- [i4]Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram:
Analyzing GDPR Compliance Through the Lens of Privacy Policy. CoRR abs/1906.12038 (2019) - [i3]Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram:
RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes. CoRR abs/1909.13670 (2019) - 2018
- [i2]Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram:
Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing. CoRR abs/1810.02904 (2018) - 2017
- [i1]Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram:
Analyzing IO Amplification in Linux File Systems. CoRR abs/1707.08514 (2017)
Coauthor Index
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