Cluster scheduling

Établi : May 1, 2016

Publications

Afficher par:

- Piper: Multidimensional Planner for DNN Parallelization
  
  Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
  
  NeurIPS 2021 | December 2021
  
  Related File Publication Projet
- Efficient Algorithms for Device Placement of DNN Graph Operators
  
  Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
  
  NeurIPS 2020 | December 2020
  
  Publication PDF Projet
- Resource Management with Deep Reinforcement Learning
  
  Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
  
  HotNets-XV, Atlanta, GA, USA | November 2016
  
  Publication Publication Publication
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication
- VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
  
  Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
  
  MSR-TR-2016-13 | June 2016
  
  Publié par Microsoft
  
  Publication Projet
- CloudBuild: Microsoft’s Distributed and Caching Build Service
  
  Hamed Esfahani, Jonas Fietz, Qi Ke, Alexei Kolomiets, Erica Lan, Erik Mavrinac, Wolfram Schulte, Newton Sanches, Srikanth Kandula
  
  SEIP | June 2016
  
  Publication Projet
- Efficient Queue Management for Cluster Scheduling
  
  Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
  
  MSR-TR-2016-12 | March 2016
  
  Publié par Microsoft
  
  Publication
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  Publié par Microsoft
  
  Publication
- Multi-resource Packing for Cluster Schedulers
  
  Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
  
  ACM SIGCOMM | August 2014
  
  Publication Projet
- Recurring Job Optimization in Scope
  
  Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
  
  SIGMOD '12 | May 2012
  
  Publication Publication
- PACMan: Coordinated Memory Caching for Parallel Jobs
  
  Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
  
  USENIX NSDI | April 2012
  
  Publication

- Piper: Multidimensional Planner for DNN Parallelization
  
  Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
  
  NeurIPS 2021 | December 2021
  
  Related File Publication Projet
- Efficient Algorithms for Device Placement of DNN Graph Operators
  
  Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
  
  NeurIPS 2020 | December 2020
  
  Publication PDF Projet
- Resource Management with Deep Reinforcement Learning
  
  Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
  
  HotNets-XV, Atlanta, GA, USA | November 2016
  
  Publication Publication Publication
- Piper: Multidimensional Planner for DNN Parallelization
  
  Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
  
  NeurIPS 2021 | December 2021
  
  Related File Publication Projet
- Efficient Algorithms for Device Placement of DNN Graph Operators
  
  Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
  
  NeurIPS 2020 | December 2020
  
  Publication PDF Projet
- Resource Management with Deep Reinforcement Learning
  
  Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
  
  HotNets-XV, Atlanta, GA, USA | November 2016
  
  Publication Publication Publication
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication
- VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
  
  Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
  
  MSR-TR-2016-13 | June 2016
  
  Publié par Microsoft
  
  Publication Projet
- CloudBuild: Microsoft’s Distributed and Caching Build Service
  
  Hamed Esfahani, Jonas Fietz, Qi Ke, Alexei Kolomiets, Erica Lan, Erik Mavrinac, Wolfram Schulte, Newton Sanches, Srikanth Kandula
  
  SEIP | June 2016
  
  Publication Projet
- Efficient Queue Management for Cluster Scheduling
  
  Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
  
  MSR-TR-2016-12 | March 2016
  
  Publié par Microsoft
  
  Publication
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  Publié par Microsoft
  
  Publication
- Multi-resource Packing for Cluster Schedulers
  
  Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
  
  ACM SIGCOMM | August 2014
  
  Publication Projet
- Recurring Job Optimization in Scope
  
  Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
  
  SIGMOD '12 | May 2012
  
  Publication Publication
- PACMan: Coordinated Memory Caching for Parallel Jobs
  
  Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
  
  USENIX NSDI | April 2012
  
  Publication
- Efficient Algorithms for Device Placement of DNN Graph Operators
  
  Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
  
  NeurIPS 2020 | December 2020
  
  Publication PDF Projet
- PACMan: Coordinated Memory Caching for Parallel Jobs
  
  Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
  
  USENIX NSDI | April 2012
  
  Publication

- Piper: Multidimensional Planner for DNN Parallelization
  
  Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
  
  NeurIPS 2021 | December 2021
  
  Related File Publication Projet
- Efficient Algorithms for Device Placement of DNN Graph Operators
  
  Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
  
  NeurIPS 2020 | December 2020
  
  Publication PDF Projet
- Resource Management with Deep Reinforcement Learning
  
  Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
  
  HotNets-XV, Atlanta, GA, USA | November 2016
  
  Publication Publication Publication
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication
- CloudBuild: Microsoft’s Distributed and Caching Build Service
  
  Hamed Esfahani, Jonas Fietz, Qi Ke, Alexei Kolomiets, Erica Lan, Erik Mavrinac, Wolfram Schulte, Newton Sanches, Srikanth Kandula
  
  SEIP | June 2016
  
  Publication Projet
- Multi-resource Packing for Cluster Schedulers
  
  Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
  
  ACM SIGCOMM | August 2014
  
  Publication Projet
- Recurring Job Optimization in Scope
  
  Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
  
  SIGMOD '12 | May 2012
  
  Publication Publication
- PACMan: Coordinated Memory Caching for Parallel Jobs
  
  Ganesh Ananthanarayanan, Ali Ghodsi, Andrew Wang, Dhruba Borthakur, Srikanth Kandula, Scott Shenker, Ion Stoica
  
  USENIX NSDI | April 2012
  
  Publication
- VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
  
  Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
  
  MSR-TR-2016-13 | June 2016
  
  Publié par Microsoft
  
  Publication Projet
- Efficient Queue Management for Cluster Scheduling
  
  Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
  
  MSR-TR-2016-12 | March 2016
  
  Publié par Microsoft
  
  Publication
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  Publié par Microsoft
  
  Publication

Personne

Ganesh Ananthanarayanan

Senior Principal Researcher

Peter Bodík

Principal Researcher

Ishai Menache

Partner Research Manager