Pijika Watcharapichat

According to our database, Pijika Watcharapichat authored at least 5 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Crossbow: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers.

Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch

Proc. VLDB Endow., 2019

2018

Meta-Dataflows: Efficient Exploratory Dataflow Jobs.

Raul Castro Fernandez, William Culhane, Pijika Watcharapichat, Matthias Weidlich, Victoria Lopez Morales, Peter R. Pietzuch

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Improving the performance of dataflow systems for deep neural network training.

Pijika Watcharapichat

PhD thesis, 2017

2016

BrowserFlow: Imprecise Data Flow Tracking to Prevent Accidental Data Disclosure.

Ioannis Papagiannis, Pijika Watcharapichat, Divya Muthukumaran, Peter R. Pietzuch

Proceedings of the 17th International Middleware Conference, Trento, Italy, December 12, 2016

Ako: Decentralised Deep Learning with Partial Gradient Exchange.

Pijika Watcharapichat, Victoria Lopez Morales, Raul Castro Fernandez, Peter R. Pietzuch

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016