Jayashree Mohan

Senior Researcher

Publications

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- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Project
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Project
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass (Transactions on Storage)
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, William Kunkel, David Lara, Sergey Legtchenko, Fanglin Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  ACM Transactions on Storage | February 2025, Vol 21(1): pp. 1-31
  
  Article no. 7
  
  Publication Project
- Towards Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Preprint Project Project
- Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems
  
  Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov
  
  July 2024
  
  Preprint Project
- 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
  
  MLSys | May 2024
  
  PDF Github Project
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Project
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales de Carvalho, Andromachi Chatzieleftheriou, James Clegg, Rebekah Storan Clarke, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication Project
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Project
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication Project
- Accelerating Deep Learning Training : A Storage Perspective
  
  Jayashree Mohan
  
  December 2021
  
  PhD Thesis: University of Texas at Austin | December 2021
  
  Publication
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF Project
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- CheckFreq: Frequent, Fine-Grained DNN Checkpointing
  
  Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
  
  USENIX FAST 2021 | February 2021
  
  Publication Project
- Analyzing and Mitigating Data Stalls in DNN Training
  
  Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
  
  VLDB 2021 | January 2021
  
  PDF Publication Project
- Recipe: Converting concurrent DRAM indexes to persistent-memory indexes
  
  Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram
  
  Symposium on Operating Systems Principles (SOSP 2019) | October 2019
  
  Publication
- Analyzing GDPR compliance through the lens of privacy policy
  
  Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
  
  Poly workshop at VLDB 2019 | August 2019
  
  Publication
- Crashmonkey and ACE: Systematically testing file-system crash consistency
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  ACM Transactions on Storage (TOS) | April 2019
  
  Publication
- Finding crash-consistency bugs with bounded black-box crash testing
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication
- The Dangers and Complexities of SQLite Benchmarking
  
  Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
  
  APSys Workshop | September 2017
  
  Publication
- Analyzing IO amplification in Linux file systems
  
  Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
  
  July 2017
  
  Publication
- Storage on Your Smartphone Uses More Energy Than You Think
  
  Jayashree Mohan, Dhathri Purohith, Mathew Halpern, Vijay Chidambaram, Vijay Janapa Reddi
  
  USENIX HotStorage Workshop | July 2017
  
  Publication

- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Project
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Project
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass (Transactions on Storage)
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, William Kunkel, David Lara, Sergey Legtchenko, Fanglin Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  ACM Transactions on Storage | February 2025, Vol 21(1): pp. 1-31
  
  Article no. 7
  
  Publication Project
- Towards Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Preprint Project Project
- Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems
  
  Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov
  
  July 2024
  
  Preprint Project
- 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
  
  MLSys | May 2024
  
  PDF Github Project
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Project
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales de Carvalho, Andromachi Chatzieleftheriou, James Clegg, Rebekah Storan Clarke, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication Project
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Project
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication Project
- Accelerating Deep Learning Training : A Storage Perspective
  
  Jayashree Mohan
  
  December 2021
  
  PhD Thesis: University of Texas at Austin | December 2021
  
  Publication
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF Project
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- CheckFreq: Frequent, Fine-Grained DNN Checkpointing
  
  Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
  
  USENIX FAST 2021 | February 2021
  
  Publication Project
- Analyzing and Mitigating Data Stalls in DNN Training
  
  Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
  
  VLDB 2021 | January 2021
  
  PDF Publication Project
- Recipe: Converting concurrent DRAM indexes to persistent-memory indexes
  
  Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram
  
  Symposium on Operating Systems Principles (SOSP 2019) | October 2019
  
  Publication
- Crashmonkey and ACE: Systematically testing file-system crash consistency
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  ACM Transactions on Storage (TOS) | April 2019
  
  Publication
- Finding crash-consistency bugs with bounded black-box crash testing
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication
- The Dangers and Complexities of SQLite Benchmarking
  
  Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
  
  APSys Workshop | September 2017
  
  Publication
- Analyzing IO amplification in Linux file systems
  
  Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
  
  July 2017
  
  Publication
- Storage on Your Smartphone Uses More Energy Than You Think
  
  Jayashree Mohan, Dhathri Purohith, Mathew Halpern, Vijay Chidambaram, Vijay Janapa Reddi
  
  USENIX HotStorage Workshop | July 2017
  
  Publication
- Towards Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Preprint Project Project
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication Project
- Accelerating Deep Learning Training : A Storage Perspective
  
  Jayashree Mohan
  
  December 2021
  
  PhD Thesis: University of Texas at Austin | December 2021
  
  Publication
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF Project
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- CheckFreq: Frequent, Fine-Grained DNN Checkpointing
  
  Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
  
  USENIX FAST 2021 | February 2021
  
  Publication Project
- Analyzing and Mitigating Data Stalls in DNN Training
  
  Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
  
  VLDB 2021 | January 2021
  
  PDF Publication Project
- Analyzing GDPR compliance through the lens of privacy policy
  
  Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
  
  Poly workshop at VLDB 2019 | August 2019
  
  Publication
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication

- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
  
  Aditya K Kamath, Ramya Prabhu, Jayashree Mohan, Simon Peter, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  Publication Project
- vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
  
  Ramya Prabhu, Ajay Nayak, Jayashree Mohan, Ramachandran Ramjee, Ashish Panwar
  
  Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2025 | March 2025
  
  PDF Preprint Github Project
- Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems
  
  Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov
  
  July 2024
  
  Preprint Project
- 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
  
  MLSys | May 2024
  
  PDF Github Project
- Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
  
  Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav Gulavani, Alexey Tumanov, Ramachandran Ramjee
  
  OSDI '24 | March 2024
  
  DOI Publication Publication Github Project
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales de Carvalho, Andromachi Chatzieleftheriou, James Clegg, Rebekah Storan Clarke, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  The 29th ACM Symposium on Operating Systems Principles | October 2023
  
  Publication Project
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication Project
- Memory Optimization for Deep Networks
  
  Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krahenbuhl
  
  International Conference on Learning Representations (ICLR 2021) | May 2021
  
  Publication
- CheckFreq: Frequent, Fine-Grained DNN Checkpointing
  
  Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
  
  USENIX FAST 2021 | February 2021
  
  Publication Project
- Analyzing and Mitigating Data Stalls in DNN Training
  
  Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
  
  VLDB 2021 | January 2021
  
  PDF Publication Project
- Recipe: Converting concurrent DRAM indexes to persistent-memory indexes
  
  Se Kwon Lee, Jayashree Mohan, Sanidhya Kashyap, Taesoo Kim, Vijay Chidambaram
  
  Symposium on Operating Systems Principles (SOSP 2019) | October 2019
  
  Publication
- Analyzing GDPR compliance through the lens of privacy policy
  
  Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
  
  Poly workshop at VLDB 2019 | August 2019
  
  Publication
- Finding crash-consistency bugs with bounded black-box crash testing
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
  
  Publication
- The Dangers and Complexities of SQLite Benchmarking
  
  Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
  
  APSys Workshop | September 2017
  
  Publication
- Storage on Your Smartphone Uses More Energy Than You Think
  
  Jayashree Mohan, Dhathri Purohith, Mathew Halpern, Vijay Chidambaram, Vijay Janapa Reddi
  
  USENIX HotStorage Workshop | July 2017
  
  Publication
- Project Silica: Towards Sustainable Cloud Archival Storage in Glass (Transactions on Storage)
  
  Patrick Anderson, Erika B. Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, Istvan Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, William Kunkel, David Lara, Sergey Legtchenko, Fanglin Liu, Bruno Magalhaes, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Truong Nguyen, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Ant Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Adam Smith, Ioan Stefanovici, David Sweeney, Benn Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Thomas Winkler, Stefan Winzeck
  
  ACM Transactions on Storage | February 2025, Vol 21(1): pp. 1-31
  
  Article no. 7
  
  Publication Project
- Crashmonkey and ACE: Systematically testing file-system crash consistency
  
  Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli, Pandian Raju, Vijay Chidambaram
  
  ACM Transactions on Storage (TOS) | April 2019
  
  Publication
- Towards Efficient Large Multimodal Model Serving
  
  Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca
  
  February 2025
  
  Preprint Project Project
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
  
  Amey Agrawal, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee
  
  September 2023
  
  Preprint Project
- Accelerating Deep Learning Training : A Storage Perspective
  
  Jayashree Mohan
  
  December 2021
  
  PhD Thesis: University of Texas at Austin | December 2021
  
  Publication
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF Project
- Analyzing IO amplification in Linux file systems
  
  Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
  
  July 2017
  
  Publication