Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
18th USENIX Conference on File and Storage Technologies (FAST 2020) | February 2020
Micro Co-design
Publications
Publications
Publications by Year
-
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics
Muthian Sivathanu, Midhul Vuppalapati, Bhargav Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
ACM Transactions on Storage | February 2020, Vol 15(4): pp. 1-30
Invited Paper: USENIX FAST 2019 Special Section
-
Astra: Exploiting Predictability to Optimize Deep Learning
Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou
ACM Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019) | April 2019
-
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
Publications by Research Area
-
Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
18th USENIX Conference on File and Storage Technologies (FAST 2020) | February 2020
Astra: Exploiting Predictability to Optimize Deep Learning
Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou
ACM Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019) | April 2019
-
Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
18th USENIX Conference on File and Storage Technologies (FAST 2020) | February 2020
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics
Muthian Sivathanu, Midhul Vuppalapati, Bhargav Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
ACM Transactions on Storage | February 2020, Vol 15(4): pp. 1-30
Invited Paper: USENIX FAST 2019 Special Section
Astra: Exploiting Predictability to Optimize Deep Learning
Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou
ACM Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019) | April 2019
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
Publications by Type
-
Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
18th USENIX Conference on File and Storage Technologies (FAST 2020) | February 2020
Astra: Exploiting Predictability to Optimize Deep Learning
Muthian Sivathanu, Tapan Chugh, Sanjay S. Singapuram, Lidong Zhou
ACM Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019) | April 2019
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
-
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics
Muthian Sivathanu, Midhul Vuppalapati, Bhargav Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
ACM Transactions on Storage | February 2020, Vol 15(4): pp. 1-30
Invited Paper: USENIX FAST 2019 Special Section
People
Kaushik Rajan
Principal Researcher
Ramachandran Ramjee
Partner Research Manager
Nipun Kwatra
Principal Researcher
Lidong Zhou
Corporate Vice President, Chief Scientist of Microsoft Asia Pacific R&D Group, Managing Director of Microsoft Research Asia