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2020 – today
- 2023
[i18]Alind Khare, Animesh Agrawal, Myungjin Lee, Alexey Tumanov:
SuperFed: Weight Shared Federated Learning. CoRR abs/2301.10879 (2023)- [i17]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 abs/2306.11800 (2023) - [i16]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 abs/2306.17266 (2023) - [i15]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 abs/2307.01292 (2023) - 2022
- [c26]Romil Bhardwaj, Alexey Tumanov, Stephanie Wang, Richard Liaw, Philipp Moritz, Robert Nishihara, Ion Stoica:
ESCHER: expressive scheduling with ephemeral resources. SoCC 2022: 47-62 - [c25]Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar:
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. Euro-Par 2022: 350-366 - [c24]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 - [i14]Jun Shirako, Akihiro Hayashi, Sri Raj Paul, Alexey Tumanov, Vivek Sarkar:
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing. CoRR abs/2203.06233 (2022) - [i13]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 abs/2210.15056 (2022) - [i12]Sachit Kuhar, Alexey Tumanov, Judy Hoffman:
Signed Binary Weight Networks: Improving Efficiency of Binary Weight Networks by Exploiting Sparsity. CoRR abs/2211.13838 (2022) - 2021
- [c23]Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
RubberBand: cloud-based hyperparameter tuning. EuroSys 2021: 327-342 - [c22]Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov:
CompOFA - Compound Once-For-All Networks for Faster Multi-Platform Deployment. ICLR 2021 - [i11]Manas Sahni, Shreya Varshini, Alind Khare, Alexey Tumanov:
CompOFA: Compound Once-For-All Networks for Faster Multi-Platform Deployment. CoRR abs/2104.12642 (2021) - 2020
- [j2]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): 2438-2452 (2020) - [c21]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: 477-491 - [c20]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: 1614-1624 - [i10]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 abs/2001.02338 (2020) - [i9]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 abs/2001.04592 (2020) - [i8]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 abs/2008.04063 (2020)
2010 – 2019
- 2019
- [c19]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 - [c18]João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz:
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC 2019: 13-24 - [c17]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: 61-73 - [c16]Stephanie Wang, John Liagouris, Robert Nishihara, Philipp Moritz, Ujval Misra, Alexey Tumanov, Ion Stoica:
Lineage stash: fault tolerance off the critical path. SOSP 2019: 338-352 - [i7]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 abs/1901.00041 (2019) - [i6]Paras Jain, Xiangxi Mo, Ajay Jain, Alexey Tumanov, Joseph E. Gonzalez, Ion Stoica:
The OoO VLIW JIT Compiler for GPU Inference. CoRR abs/1901.10008 (2019) - 2018
- [c15]Jun Woo Park, Alexey Tumanov, Angela H. Jiang, Michael A. Kozuch, Gregory R. Ganger:
3Sigma: distribution-based cluster scheduling for runtime uncertainty. EuroSys 2018: 2:1-2:17 - [c14]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: 561-577 - [c13]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: 580-590 - [c12]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: 1-14 - [i5]Daniel Crankshaw, Gur-Eyal Sela, Corey Zumar, Xiangxi Mo, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov:
InferLine: ML Inference Pipeline Composition Framework. CoRR abs/1812.01776 (2018) - [i4]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 abs/1812.03651 (2018) - 2017
- [c11]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: 589-604 - [c10]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: 106-110 - [i3]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 abs/1703.03924 (2017) - [i2]Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Joseph E. Gonzalez:
IDK Cascades: Fast Deep Learning by Learning not to Overthink. CoRR abs/1706.00885 (2017) - [i1]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 abs/1712.05889 (2017) - 2016
- [b1]Alexey Tumanov:
Scheduling with Space-Time Soft Constraints In Heterogeneous Cloud Datacenters. Carnegie Mellon University, USA, 2016 - [c9]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: 35:1-35:16 - [c8]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: 117-134 - 2014
- [j1]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): 16:1-16:27 (2014) - [c7]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: 5:1-5:14 - [c6]Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger:
PriorityMeister: Tail Latency QoS for Shared Networked Storage. SoCC 2014: 29:1-29:14 - [c5]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: 243-255 - 2012
- [c4]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: 7 - [c3]Alexey Tumanov, James Cipar, Gregory R. Ganger, Michael A. Kozuch:
alsched: algebraic scheduling of mixed workloads in heterogeneous clouds. SoCC 2012: 25 - 2011
- [c2]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: 273-286
2000 – 2009
- 2007
- [c1]Alexey Tumanov, Robert S. Allison, Wolfgang Stürzlinger:
Variability-Aware Latency Amelioration in Distributed Environments. VR 2007: 123-130
Coauthor Index
aka: Joseph E. Gonzalez
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last updated on 2023-09-19 23:25 CEST by the dblp team
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