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Jayashree Mohan

Analyzing and mitigating data stalls in DNN training
2021 · Jayashree Mohan, Amar Phanishayee, et al. · Proceedings of the VLDB Endowment · 122
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vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
2025 · Ramya Prabhu, Ajay Nayak, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 42
Analyzing GDPR Compliance Through the Lens of Privacy Policy
2019 · Jayashree Mohan, Melissa Wasserman, et al. · Lecture notes in computer science · 42
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Finding crash-consistency bugs with bounded black-box crash testing
2018 · Jayashree Mohan, Ashlie Martinez, et al. · Operating Systems Design and Implementation · 42
CheckFreq: Frequent, Fine-Grained DNN Checkpointing.
2021 · Jayashree Mohan, Amar Phanishayee, et al. · File and Storage Technologies · 38
POD-A ttention : Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
2025 · Aditya K. Kamath, Ramya Prabhu, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 26
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
2024 · Agrawal, Amey, Kedia, Nitin, et al. · arXiv (Cornell University) · 24
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SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
2023 · Agrawal, Amey, Panwar, Ashish, et al. · arXiv (Cornell University) · 20
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Project Silica: Towards Sustainable Cloud Archival Storage in Glass
2023 · Patrick Anderson, Erika Blancada Aranas, et al. · ACM SIGOPS Symposium on Operating Systems Principles (SOSP) · 18
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Project Silica: Towards Sustainable Cloud Archival Storage in Glass
2024 · Patrick Anderson, Erika Aranas, et al. · ACM Transactions on Storage · 13
Memory Optimization for Deep Networks
2020 · Shah, Aashaka, Wu, Chao-Yuan, et al. · arXiv (Cornell University) · 11
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Storage on Your SmartPhone Uses More Energy Than You Think
2017 · Jayashree Mohan, Dhathri Purohith, et al. · 11
CrashMonkey and ACE
2019 · Jayashree Mohan, Ashlie Martinez, et al. · ACM Transactions on Storage · 10
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Vidur: A Large-Scale Simulation Framework For LLM Inference
2024 · Agrawal, Amey, Kedia, Nitin, et al. · arXiv (Cornell University) · 9
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The Dangers and Complexities of SQLite Benchmarking
2017 · Dhathri Purohith, Jayashree Mohan, et al. · Asia-Pacific Workshop on Systems · 8
Analyzing IO Amplification in Linux File Systems
2017 · Mohan, Jayashree, Kadekodi, Rohan, et al. · arXiv (Cornell University) · 8
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Reducing DNS cache poisoning attacks
2015 · Jayashree Mohan, Shruthi Puranik, et al. · International Conference on Advanced Computing and Communication Systems (ICACCS) · 7
INSTalytics
2019 · Muthian Sivathanu, Midhul Vuppalapati, et al. · ACM Transactions on Storage · 6
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
2021 · Mohan, Jayashree, Phanishayee, Amar, et al. · arXiv (Cornell University) · 5
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QoServe: Breaking the Silos of LLM Inference Serving
2026 · Kanishk Goel, Jayashree Mohan, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 4
Efficient LLM Inference via Chunked Prefills
2025 · Arney Agrawal, Nitin Kedia, et al. · ACM SIGOPS Operating Systems Review · 4
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INSTalytics: Cluster Filesystem Co-design for Big-data Analytics.
2019 · Muthian Sivathanu, Midhul Vuppalapati, et al. · File and Storage Technologies · 4
Optimizing Downloads over Random Duration Links in Mobile Networks
2016 · Amber Bhargava, Spencer Congero, et al. · International Conference on Computer Communications and Networks (ICCCN) · 4
Smart and Secure Monitoring of Industrial Environments using IoT
2015 · Shruthi Puranik, Jayashree Mohan, et al. · International Symposium on Women in Computing and Informatics · 3
Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems
2024 · Agrawal, Amey, Agarwal, Anmol, et al. · arXiv (Cornell University) · 1
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Works count: 34
Citation count: 482
H-index: 11
I10-index: 13
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