Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
NeurIPS 2021 | December 2021
출판물
연도별 간행물
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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
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Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
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
VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
MSR-TR-2016-13 | June 2016
글쓴이 Microsoft
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
Efficient Queue Management for Cluster Scheduling
Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
MSR-TR-2016-12 | March 2016
글쓴이 Microsoft
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
글쓴이 Microsoft
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Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
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Recurring Job Optimization in Scope
Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
SIGMOD '12 | May 2012
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
연구분야별 간행물
-
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
NeurIPS 2021 | December 2021
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
Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
-
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
NeurIPS 2021 | December 2021
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
Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
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
VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
MSR-TR-2016-13 | June 2016
글쓴이 Microsoft
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
Efficient Queue Management for Cluster Scheduling
Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
MSR-TR-2016-12 | March 2016
글쓴이 Microsoft
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
글쓴이 Microsoft
Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
Recurring Job Optimization in Scope
Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
SIGMOD '12 | May 2012
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
-
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
-
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
유형별 출판물
-
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
NeurIPS 2021 | December 2021
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
Resource Management with Deep Reinforcement Learning
Hongzi Mao, Mohammad Alizadeh, Ishai Menache, Srikanth Kandula
HotNets-XV, Atlanta, GA, USA | November 2016
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
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
Multi-resource Packing for Cluster Schedulers
Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, Aditya Akella
ACM SIGCOMM | August 2014
Recurring Job Optimization in Scope
Nicolas Bruno, Srikanth Kandula, Bing Shi, Ming-Chuan Wu, Jingren Zhou
SIGMOD '12 | May 2012
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
-
VisFlow: A Relational Platform for Efficient Large-Scale Video Analytics
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula
MSR-TR-2016-13 | June 2016
글쓴이 Microsoft
Efficient Queue Management for Cluster Scheduling
Jeff Rasley, Konstantinos Karanasos, Srikanth Kandula, Rodrigo Fonseca, Milan Vojnovic, Sriram Rao
MSR-TR-2016-12 | March 2016
글쓴이 Microsoft
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
글쓴이 Microsoft
인원
Ganesh Ananthanarayanan
Senior Principal Researcher
Peter Bodík
Principal Researcher
Ishai Menache
Partner Research Manager