Alexey Tumanov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
18
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroSys | Maya: Optimizing Deep Learning Training Workloads using GPU Runtime Emulation. | Srihas Yarlagadda, Amey Agrawal, Elton Pinto, Hakesh Darapaneni, Mitali Meratwal, Shivam Mittal, Pranavi Bajjuri, Srinivas Sridharan, Alexey Tumanov |
| 2025 | CCS | VillainNet: Targeted Poisoning Attacks Against SuperNets Along the Accuracy-Latency Pareto Frontier. | David Oygenblik, Abhinav Vemulapalli, Animesh Agrawal, Debopam Sanyal, Alexey Tumanov, Brendan Saltaformaggio |
| 2025 | ICML | RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression. | Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov |
| 2025 | NSDI | SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. | Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov |
| 2024 | CLOUD | Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. | Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov |
| 2024 | ECCV | DεpS: Delayed ε-Shrinking for Faster Once-for-All Training. | Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov |
| 2024 | ECCV | SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference. | Alind Khare, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee, Hugo Latapie, Alexey Tumanov |
| 2024 | OSDI | Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. | Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee |
| 2022 | CLOUD | ESCHER: expressive scheduling with ephemeral resources. | Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica |
| 2022 | EuroPar | Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. | Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar |
| 2022 | ICCD | CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. | Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng |
| 2021 | EuroSys | RubberBand: cloud-based hyperparameter tuning. | Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2021 | ICLR | CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment. | Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov |
| 2020 | CLOUD | InferLine: latency-aware provisioning and scaling for prediction serving pipelines. | Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov |
| 2020 | KDD | HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. | Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov |
| 2019 | CIDR | Serverless Computing: One Step Forward, Two Steps Back. | Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu |
| 2019 | CLOUD | Cirrus: a Serverless Framework for End-to-end ML Workflows. | Joo Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz |
| 2019 | CLOUD | HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. | Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2019 | SOSP | Lineage stash: fault tolerance off the critical path. | Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica |
| 2018 | EuroSys | 3Sigma: distribution-based cluster scheduling for runtime uncertainty. | Jun Woo Park, Alexey Tumanov, Angela H. Jiang, Michael A. Kozuch, Gregory R. Ganger |
| 2018 | OSDI | Ray: A Distributed Framework for Emerging AI Applications. | Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica |
| 2018 | UAI | IDK Cascades: Fast Deep Learning by Learning not to Overthink. | Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez |
| 2018 | USENIX | Tributary: spot-dancing for elastic services with latency SLOs. | Aaron Harlap, Andrew Chung, Alexey Tumanov, Gregory R. Ganger, Phillip B. Gibbons |
| 2017 | EuroSys | Proteus: agile ML elasticity through tiered reliability in dynamic resource markets. | Aaron Harlap, Alexey Tumanov, Andrew Chung, Gregory R. Ganger, Phillip B. Gibbons |
| 2017 | HotOS | Real-Time Machine Learning: The Missing Pieces. | Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica |
| 2016 | EuroSys | TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters. | Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger |
| 2016 | OSDI | Morpheus: Towards Automated SLOs for Enterprise Clusters. | Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao |
| 2014 | CLOUD | Exploiting iterative-ness for parallel ML computations. | Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing |
| 2014 | CLOUD | PriorityMeister: Tail Latency QoS for Shared Networked Storage. | Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger |
| 2014 | FAST | SpringFS: bridging agility and performance in elastic distributed storage. | Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta, Michael A. Kozuch, Gregory R. Ganger |
| 2012 | CLOUD | Heterogeneity and dynamicity of clouds at scale: Google trace analysis. | Charles Reiss, Alexey Tumanov, Gregory R. Ganger, Randy H. Katz, Michael A. Kozuch |
| 2012 | CLOUD | alsched: algebraic scheduling of mixed workloads in heterogeneous clouds. | Alexey Tumanov, James Cipar, Gregory R. Ganger, Michael A. Kozuch |
| 2011 | EuroSys | Kaleidoscope: cloud micro-elasticity via VM state coloring. | Roy Bryant, Alexey Tumanov, Olga Irzak, Adin Scannell, Kaustubh R. Joshi, Matti A. Hiltunen, H. Andrs Lagar-Cavilla, Eyal de Lara |
| 2007 | VR | Variability-Aware Latency Amelioration in Distributed Environments. | Alexey Tumanov, Robert S. Allison, Wolfgang Strzlinger |