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Platform Lab Spring Retreat 2017

June 8-9, 2017

Seascape Beach Resort
Aptos, CA


Thursday, June 8th

12:00pm

Check in and Lunch

1:00pm

Welcome, Introductions, Platform Lab Overview (John Ousterhout) | Slides

1:45pm

Self-Driving Networks — Balaji Prabhakar | Slides

2:10pm

Network Clock Synchronization — Yilong Geng | Slides

2:35pm

Deep Reinforcement Learning for Content Delivery — Sachin Katti | Slides

3:00pm

Break

3:30pm

Granular computing for low-latency compression and compilation — Keith Winstein | Slides

3:55pm

Arachne: Core-Aware Thread Management — Henry Qin | Slides

4:20pm

A coarse-grain reconfigurable architecture for analytics — Raghu Prabhakar | Slides

4:45pm

Breakout Discussions (in parallel): Self Driving Networks, Granular Computing, Scalable Notification, Serverless Computing

5:45pm

Reception/posters

7:00pm

Dinner

9:00pm

Board games

Friday, June 9th

8:00am

Breakfast

9:00am

Reports from the breakout discussions

9:25am

Efficient Methods for Deep Neural Networks — Song Han | Slides

9:50am

Predictable Stream Processing — Manu Bansal | Slides

10:15am

Can Great Programmers Be Taught? — John Ousterhout | Slides

10:40pm

Recreation and Informal Conversations

12:00pm

Lunch

1:00pm

BCP for datacenters — Matei Zaharia | Slides

1:25pm

Hierarchy for Web Search — Grant Ayers

1:50pm

Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities — Behnam Montazeri | Slides

2:15pm

CGAR: Strong Consistency without Synchronous Replication — Seo Jin Park | Slides

2:40pm

Break

3:00pm

Machine Learning Methods for Networking — Zi Yin | Slides

3:25pm

Accelerating Genomics Computations 1000x with Hardware — Yatish Turakhia

3:50pm

Industrial Feedback

4:30pm

Wrap-up