default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJayashree Mohan
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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 - [i13]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) - [i12]Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar:
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention. CoRR abs/2405.04437 (2024) - [i11]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) - [i10]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) - [i9]Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma:
ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. CoRR abs/2409.20156 (2024) - 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 - [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) - 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
- [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) - [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 - [i7]Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram:
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters. CoRR abs/2110.06073 (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) - [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)
2010 – 2019
- 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) - [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 - [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
- [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 - [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
- [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 - [i1]Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram:
Analyzing IO Amplification in Linux File Systems. CoRR abs/1707.08514 (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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-21 20:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
