QoServe : Breaking the Silos of LLM Inference Serving
Kanishk Goel, Jayashree Mohan, Nipun Kwatra, Ravi Shreyas Anupindi, Ramachandran Ramjee
Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026 | March 2026
Jayashree Mohan
Principal Researcher
出版物
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SUTRADHARA : An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, A. Parayil, Ramachandran Ramjee, Chetan Bansal
February 2026
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ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable 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
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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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
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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
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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, 巻21(1): pp. 1-31
Article no. 7
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ModServe: Scalable and Resource-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
Arxiv | February 2025
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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
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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
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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
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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
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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
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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
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Accelerating Deep Learning Training : A Storage Perspective
December 2021
博士論文:University of Texas at Austin | December 2021
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Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
October 2021
arXiv preprint | October 2021
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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
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CheckFreq: Frequent, Fine-Grained DNN Checkpointing
Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
USENIX FAST 2021 | February 2021
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Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
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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
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Analyzing GDPR compliance through the lens of privacy policy
Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
Poly workshop at VLDB 2019 | August 2019
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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
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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
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The Dangers and Complexities of SQLite Benchmarking
Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
APSys Workshop | September 2017
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Analyzing IO amplification in Linux file systems
Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
July 2017
arXiv preprint | July 2017
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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
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SUTRADHARA : An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, A. Parayil, Ramachandran Ramjee, Chetan Bansal
February 2026
-
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable 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
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
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ModServe: Scalable and Resource-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
Arxiv | February 2025
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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
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Accelerating Deep Learning Training : A Storage Perspective
December 2021
博士論文:University of Texas at Austin | December 2021
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Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
October 2021
arXiv preprint | October 2021
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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
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CheckFreq: Frequent, Fine-Grained DNN Checkpointing
Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
USENIX FAST 2021 | February 2021
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Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
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QoServe : Breaking the Silos of LLM Inference Serving
Kanishk Goel, Jayashree Mohan, Nipun Kwatra, Ravi Shreyas Anupindi, Ramachandran Ramjee
Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026 | March 2026
-
SUTRADHARA : An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, A. Parayil, Ramachandran Ramjee, Chetan Bansal
February 2026
-
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable 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
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
-
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
-
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
-
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, 巻21(1): pp. 1-31
Article no. 7
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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
-
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
-
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
-
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
-
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
-
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
-
Accelerating Deep Learning Training : A Storage Perspective
December 2021
博士論文:University of Texas at Austin | December 2021
-
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
October 2021
arXiv preprint | October 2021
-
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
-
CheckFreq: Frequent, Fine-Grained DNN Checkpointing
Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
USENIX FAST 2021 | February 2021
-
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
-
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
-
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
-
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
-
The Dangers and Complexities of SQLite Benchmarking
Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
APSys Workshop | September 2017
-
Analyzing IO amplification in Linux file systems
Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
July 2017
arXiv preprint | July 2017
-
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
-
-
-
Analyzing GDPR compliance through the lens of privacy policy
Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
Poly workshop at VLDB 2019 | August 2019
-
-
-
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
-
-
-
SUTRADHARA : An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
Anish Biswas, Kanishk Goel, Jayashree Mohan, Alind Khare, A. Parayil, Ramachandran Ramjee, Chetan Bansal
February 2026
-
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
-
-
-
QoServe : Breaking the Silos of LLM Inference Serving
Kanishk Goel, Jayashree Mohan, Nipun Kwatra, Ravi Shreyas Anupindi, Ramachandran Ramjee
Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026 | March 2026
-
ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable 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
ACM Symposium on Cloud Computing (SoCC) 2025 | November 2025
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
CheckFreq: Frequent, Fine-Grained DNN Checkpointing
Jayashree Mohan, Amar Phanishayee, Vijay Chidambaram
USENIX FAST 2021 | February 2021
-
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, Vijay Chidambaram
VLDB 2021 | January 2021
-
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
-
Analyzing GDPR compliance through the lens of privacy policy
Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
Poly workshop at VLDB 2019 | August 2019
-
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
-
The Dangers and Complexities of SQLite Benchmarking
Dhathri Purohith, Jayashree Mohan, Vijay Chidambaram
APSys Workshop | September 2017
-
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
-
-
-
ModServe: Scalable and Resource-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
Arxiv | February 2025
-
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
October 2021
arXiv preprint | October 2021
-
Analyzing IO amplification in Linux file systems
Jayashree Mohan, Rohan Kadekodi, Vijay Chidambaram
July 2017
arXiv preprint | July 2017
-
-
-
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, 巻21(1): pp. 1-31
Article no. 7
-
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
-
-
-
Accelerating Deep Learning Training : A Storage Perspective
December 2021
博士論文:University of Texas at Austin | December 2021
-