| Recipe: Converting concurrent dram indexes to persistent-memory indexes SK Lee, J Mohan, S Kashyap, T Kim, V Chidambaram Proceedings of the 27th ACM Symposium on Operating Systems Principles, 462-477, 2019 | 225 | 2019 |
| Taming {Throughput-Latency} tradeoff in {LLM} inference with {Sarathi-Serve} A Agrawal, N Kedia, A Panwar, J Mohan, N Kwatra, B Gulavani, ... 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2024 | 174* | 2024 |
| Finding {Crash-Consistency} bugs with bounded {Black-Box} crash testing J Mohan, A Martinez, S Ponnapalli, P Raju, V Chidambaram 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2018 | 129* | 2018 |
| Analyzing and mitigating data stalls in DNN training J Mohan, A Phanishayee, A Raniwala, V Chidambaram arXiv preprint arXiv:2007.06775, 2020 | 127 | 2020 |
| {CheckFreq}: Frequent,{Fine-Grained}{DNN} Checkpointing J Mohan, A Phanishayee, V Chidambaram 19th USENIX Conference on File and Storage Technologies (FAST 21), 203-216, 2021 | 91 | 2021 |
| Looking beyond {GPUs} for {DNN} scheduling on {Multi-Tenant} clusters J Mohan, A Phanishayee, J Kulkarni, V Chidambaram 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022 | 82 | 2022 |
| Analyzing GDPR compliance through the lens of privacy policy J Mohan, M Wasserman, V Chidambaram Heterogeneous Data Management, Polystores, and Analytics for Healthcare …, 2019 | 62 | 2019 |
| Vidur: A large-scale simulation framework for llm inference A Agrawal, N Kedia, J Mohan, A Panwar, N Kwatra, B Gulavani, ... Proceedings of Machine Learning and Systems 6, 351-366, 2024 | 28 | 2024 |
| Memory optimization for deep networks A Shah, CY Wu, J Mohan, V Chidambaram, P Krähenbühl arXiv preprint arXiv:2010.14501, 2020 | 28 | 2020 |
| Storage on Your Smartphone Uses More Energy Than You Think J Mohan, D Purohith, M Halpern, V Chidambaram, VJ Reddi | 19 | 2017 |
| Instalytics: Cluster filesystem co-design for big-data analytics M Sivathanu, M Vuppalapati, BS Gulavani, K Rajan, J Leeka, J Mohan, ... ACM Transactions on Storage (TOS) 15 (4), 1-30, 2020 | 12 | 2020 |
| Analyzing IO amplification in Linux file systems J Mohan, R Kadekodi, V Chidambaram arXiv preprint arXiv:1707.08514, 2017 | 12 | 2017 |
| vattention: Dynamic memory management for serving llms without pagedattention R Prabhu, A Nayak, J Mohan, R Ramjee, A Panwar arXiv preprint arXiv:2405.04437, 2024 | 10 | 2024 |
| Project Silica: towards sustainable cloud archival storage in glass P Anderson, EB Aranas, Y Assaf, R Behrendt, R Black, M Caballero, ... Proceedings of the 29th Symposium on Operating Systems Principles, 166-181, 2023 | 10 | 2023 |
| The dangers and complexities of sqlite benchmarking D Purohith, J Mohan, V Chidambaram Proceedings of the 8th Asia-Pacific Workshop on Systems, 1-6, 2017 | 10 | 2017 |
| Reducing DNS cache poisoning attacks J Mohan, S Puranik, K Chandrasekaran 2015 International Conference on Advanced Computing and Communication …, 2015 | 9 | 2015 |
| Optimizing downloads over random duration links in mobile networks A Bhargava, S Congero, T Ferrell, A Jones, L Linsky, J Mohan, ... 2016 25th International Conference on Computer Communication and Networks …, 2016 | 8* | 2016 |
| Metron: Holistic performance evaluation framework for llm inference systems A Agrawal, A Agarwal, N Kedia, J Mohan, S Kundu, N Kwatra, R Ramjee, ... arXiv e-prints, arXiv: 2407.07000, 2024 | 5 | 2024 |
| Pod-attention: Unlocking full prefill-decode overlap for faster llm inference AK Kamath, R Prabhu, J Mohan, S Peter, R Ramjee, A Panwar arXiv preprint arXiv:2410.18038, 2024 | 3 | 2024 |
| ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers S Mehta, J Mohan, N Natarajan, R Ramjee, M Varma arXiv preprint arXiv:2409.20156, 2024 | 1 | 2024 |
Vijay ChidambaramUniversity of Texas at Austinכתובת אימייל מאומתת בדומיין utexas.edu