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Researching next-generation systems and networks that power reliable, scalable, and efficient computing.

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Published Date

Publication

Demo: Towards Flexible and Scalable Indoor Navigation

Yuanchao Shu, Börje F. Karlsson, Yiyong Lin, Thomas Moscibroda

ACM International Conference on Mobile Computing and Networking (MobiCom) | October 2017

Project

Publication

RAVEN: Optimizing Power Consumption of Mobile Games Using Perception-Aware Rendering Rate Scaling

Yunxin Liu

accepted to appear in the 23rd Annual International Conference on Mobile Computing and Networking (MobiCom 2017) | October 2017

Publication

Recovering Shared Objects Without Stable Storage (Extended Version)

Ellis Michael, Dan R. K. Ports, Naveen Kr. Sharma, Adriana Szekeres

UW-CSE-TR-17-10-01 | October 2017

Publication

Hybrid Wavelength Switched-TDMA High Port Count All-Optical Data Centre Switch

Adam Funnel, Kai Shi, Paolo Costa, Philip Watts , Hitesh Ballani, Benn Thomsen

OSA Journal of Lightwave Technology | October 2017, Vol 35(20): pp. 4438

Publication

Exploiting Heterogeneity for Tail Latency and Energy Efficiency

Md E. Haque, Yuxiong He, Sameh Elnikety, Thu D. Nguyen, Ricardo Bianchini, Kathryn McKinley

Proceedings of the International Symposium on Microarchitecture (MICRO) | October 2017

Publication

CrystalNet: Faithfully Emulating Large Production Networks

Hongqiang Liu, Yibo Zhu, Jitu Padhye, Jiaxin Cao, Sri Tallapragada, Nuno Lopes, Andrey Rybalchenko, Guohan Lu, Lihua Yuan

SOSP ’17 Proceedings of the 26th Symposium on Operating Systems Principles | October 2017

ISBN: 978-1-4503-5085-3

Video

Project Catapult Academic Tutorial

October 13, 2017 | Rob Moon, Rui Ma

We will be presenting a series of online tutorial sessions to introduce and provide examples of the work that is possible in the Catapult Academic environment.

1:18:19

Publication

Canopy: An End-to-End Performance Tracing And Analysis System

Jonathan Kaldor, Jonathan Mace, Michał Bejda, Edison Gao, Wiktor Kuropatwa, Joe O’Neill, Kian Win Ong, Bill Schaller, Pingjia Shan, Brendan Viscomi, Vinod Venkataraman, Kaushik Veeraraghavan, Yee Jiun Song

Symposium on Operating Systems Principles | October 2017

Project

Visual Studio Code Tools for AI

Visual Studio Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to…

Publication

Apache REEF: Retainable Evaluator Execution Framework

Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Youngseok Yang, Raghu Ramakrishnan, Carlo Curino, Matteo Interlandi

ACM Transactions on Computer Systems | October 2017, Vol 35(2): pp. 5

Systems & networking

Highlights