Alexey Tumanov

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 54

Top Topics

Heterogeneous Computing

Incipient Fault

Distributed Storage

Top Venues

Publications

Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov
Vidur: A Large-Scale Simulation Framework For LLM Inference. CoRR (2024)
Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. OSDI (2024)
Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
DεS: Delayed ε-Shrinking for Faster Once-For-All Training. CoRR (2024)
Amey Agrawal, Nitin Kedia, Ashish Panwar, Jayashree Mohan, Nipun Kwatra, Bhargav S. Gulavani, Alexey Tumanov, Ramachandran Ramjee
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. CoRR (2024)
Payman Behnam, Uday Kamal, Ali Shafiee, Alexey Tumanov, Saibal Mukhopadhyay
Harmonica: Hybrid Accelerator to Overcome Imperfections of Mixed-signal DNN Accelerators. IPDPS (2024)
Amey Agrawal, Nitin Kedia, Jayashree Mohan, Ashish Panwar, Nipun Kwatra, Bhargav S. Gulavani, Ramachandran Ramjee, Alexey Tumanov
VIDUR: A Large-Scale Simulation Framework for LLM Inference. MLSys (2024)
Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov
Metron: Holistic Performance Evaluation Framework for LLM Inference Systems. CoRR (2024)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
Subgraph Stationary Hardware-Software Inference Co-Design. CoRR (2023)
Amey Agrawal, Sameer Reddy, Satwik Bhattamishra, Venkata Prabhakara Sarath Nookala, Vidushi Vashishth, Kexin Rong, Alexey Tumanov
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization. CoRR (2023)
Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems. CoRR (2023)
Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. CoRR (2023)
Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. IEEE Micro 43 (6) (2023)
Sachit Kuhar, Yash Jain, Alexey Tumanov
Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off. CoRR (2023)
Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov
SuperFed: Weight Shared Federated Learning. CoRR (2023)
Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
Subgraph Stationary Hardware-Software Inference Co-Design. MLSys (2023)
Yanbo Xu, Shangqing Xu, Manav Ramprassad, Alexey Tumanov, Chao Zhang
TransEHR: Self-Supervised Transformer for Clinical Time Series Data. ML4H@NeurIPS (2023)
Anshul Ahluwalia, Rohit Das, Payman Behnam, Alind Khare, Pan Li, Alexey Tumanov
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation. CoRR (2023)
Sachit Kuhar, Alexey Tumanov, Judy Hoffman
Signed Binary Weight Networks: Improving Efficiency of Binary Weight Networks by Exploiting Sparsity. CoRR (2022)
Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng
CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. ICCD (2022)
Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. Euro-Par (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. NeurIPS (2022)
Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica
ESCHER: expressive scheduling with ephemeral resources. SoCC (2022)
Yanbo Xu, Alind Khare, Glenn Matlin, Monish Ramadoss, Rishikesan Kamaleswaran, Chao Zhang, Alexey Tumanov
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification. CoRR (2022)
Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. CoRR (2022)
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment. CoRR (2021)
Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
RubberBand: cloud-based hyperparameter tuning. EuroSys (2021)
Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov
CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment. ICLR (2021)
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph Gonzalez, Joseph M. Hellerstein, Alexey Tumanov
Cloudburst: Stateful Functions-as-a-Service. Proc. VLDB Endow. 13 (11) (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. KDD (2020)
Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. CoRR (2020)
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Jose M. Faleiro, Joseph E. Gonzalez, Joseph M. Hellerstein, Alexey Tumanov
Cloudburst: Stateful Functions-as-a-Service. CoRR (2020)
Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov
InferLine: latency-aware provisioning and scaling for prediction serving pipelines. SoCC (2020)
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR (2020)
Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica
Lineage stash: fault tolerance off the critical path. SOSP (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica
The OoO VLIW JIT Compiler for GPU Inference. CoRR (2019)
João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC (2019)
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica
Dynamic Space-Time Scheduling for GPU Inference. CoRR (2019)
Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu
Serverless Computing: One Step Forward, Two Steps Back. CIDR (2019)
Joao Carreira, Randy H. Katz, Pedro Fonseca, Andrew Zhang, Alexey Tumanov
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC (2019)
Yitian Zou, Ion Stoica, Joseph E. Gonzalez, Romil Bhardwaj, Lisa Dunlap, Richard Liaw, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. SoCC (2019)
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez
IDK Cascades: Fast Deep Learning by Learning not to Overthink. UAI (2018)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. OSDI (2018)
Jun Woo Park, Alexey Tumanov, Angela H. Jiang, Michael A. Kozuch, Gregory R. Ganger
3Sigma: distribution-based cluster scheduling for runtime uncertainty. EuroSys (2018)
Joseph M. Hellerstein, Jose M. Faleiro, Joseph E. Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu
Serverless Computing: One Step Forward, Two Steps Back. CoRR (2018)
Daniel Crankshaw, Gur-Eyal Sela, Corey Zumar, Xiangxi Mo, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov
InferLine: ML Inference Pipeline Composition Framework. CoRR (2018)
Aaron Harlap, Andrew Chung, Alexey Tumanov, Gregory R. Ganger, Phillip B. Gibbons
Tributary: spot-dancing for elastic services with latency SLOs. USENIX Annual Technical Conference (2018)
Aaron Harlap, Alexey Tumanov, Andrew Chung, Gregory R. Ganger, Phillip B. Gibbons
Proteus: agile ML elasticity through tiered reliability in dynamic resource markets. EuroSys (2017)
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Joseph E. Gonzalez
IDK Cascades: Fast Deep Learning by Learning not to Overthink. CoRR (2017)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Mehrdad Niknami, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. HotOS (2017)
Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, William Paul, Michael I. Jordan, Ion Stoica
Ray: A Distributed Framework for Emerging AI Applications. CoRR (2017)
Robert Nishihara, Philipp Moritz, Stephanie Wang, Alexey Tumanov, William Paul, Johann Schleier-Smith, Richard Liaw, Michael I. Jordan, Ion Stoica
Real-Time Machine Learning: The Missing Pieces. CoRR (2017)
Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters. EuroSys (2016)
Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iñigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao
Morpheus: Towards Automated SLOs for Enterprise Clusters. OSDI (2016)
Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta, Michael A. Kozuch, Gregory R. Ganger
Agility and Performance in Elastic Distributed Storage. ACM Trans. Storage 10 (4) (2014)
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
Exploiting iterative-ness for parallel ML computations. SoCC (2014)
Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta, Michael A. Kozuch, Gregory R. Ganger
SpringFS: bridging agility and performance in elastic distributed storage. FAST (2014)
Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
PriorityMeister: Tail Latency QoS for Shared Networked Storage. SoCC (2014)
Charles Reiss, Alexey Tumanov, Gregory R. Ganger, Randy H. Katz, Michael A. Kozuch
Heterogeneity and dynamicity of clouds at scale: Google trace analysis. SoCC (2012)
Alexey Tumanov, James Cipar, Gregory R. Ganger, Michael A. Kozuch
alsched: algebraic scheduling of mixed workloads in heterogeneous clouds. SoCC (2012)
Roy Bryant, Alexey Tumanov, Olga Irzak, Adin Scannell, Kaustubh R. Joshi, Matti A. Hiltunen, H. Andrés Lagar-Cavilla, Eyal de Lara
Kaleidoscope: cloud micro-elasticity via VM state coloring. EuroSys (2011)
Alexey Tumanov, Robert S. Allison, Wolfgang Stürzlinger
Variability-Aware Latency Amelioration in Distributed Environments. VR (2007)