We are pleased to welcome our PDL Consortium Member Companies
to the 26th Annual Parallel Data Lab Workshop and Retreat.
GENERAL INFORMATION
2018 RETREAT RESOURCES
(Industry attendees, contact your Liaison for the username/password or
for more information)
8:30 am - 9:00 am | Registration & Continental Breakfast -- SINGLETON ROOM, ROBERTS HALL |
9:00 am - 9:30 am | Welcome -- SINGLETON ROOM
Greg Ganger - Parallel Data Lab 2018 Retreat Welcome & Overview |
9:30 am - 10:30 am | Speaker -- SINGLETON ROOM
Anthony Rowe – The Next Frontier of IoT: Giving the Cloud an Edge |
10:30 am - 11:30 am | Industry Poster Session -- ROBERTS HALL ATRIUM |
11:30 am - 1:45 pm | Bus Ride to Bedford Springs & Lunch -- FREW STREET |
2:00 pm - 4:00 pm | Session I: Starting Strong! -- COLONNADE BALLROOM Huanchen Zhang - SuRF: Practical Range Query Filtering with Fast Succinct Tries Saurabh Kadekodi - Gotta have HeART: Exploiting Disk Reliability Heterogeneity in Cluster Storage Systems Charlie McGuffey - Writeback Aware Caching Lin Ma - Self-Driving Database Progress |
4:00 pm - 4:15 pm | Break -- CONSTITUTION HALL |
4:15 pm - 6:15 pm | Session II: Pipes and Clouds -- COLONNADE BALLROOM Aaron Harlap - PipeDream: Pipeline Parallelism for DNN Training Anuj Kalia - Datacenter RPCs can be General and Fast Andrew Chung - Stratus: Cost-aware container scheduling in the public cloud |
6:15 pm - 7:15 pm | Dinner -- EISENHOWER BALLROOM |
7:15 pm - 8:30 pm | Session III: Short Work-in-Progress Talks -- COLONNADE BALLROOM Dominic Chen - TardisTM: Time-Traveling Transaction Repair Chris Canel & Thomas Kim - Scaling Video Analytics on Constrained Edge Nodes Giulio Zhou - Finding Objects in Video with Minimal Supervision Angela Jiang - Faster DNN Training with Selective Backpropagation Daniel Wong - Evolutionary Weight Sharing For Neural Architecture Search |
8:30 pm - 10:30 pm | Reception/Poster Session I -- COLONNADE BALLROOM |
8:15 am - 9:00 am | Full Breakfast -- CRYSTAL DINING ROOM Continental Breakfast -- CONSTITUTION HALL |
9:00 am - 10:30 am | Session IV: Efficiency and Scale in the Morning -- COLONNADE BALLROOM Prashanth Menon - Next Generation Execution Engine for the Database Formerly Known as Peloton Qing Zheng - Scaling DeltaFS Indexed Massive Directories to 131,072 CPU Cores |
10:30 am - 10:45 am | Break -- CONSTITUTION HALL |
10:45 am - 12:15 pm | Session V: Serving Video Queries and ML Models -- COLONNADE BALLROOM Jack Kosaian - Resilient ML Inference via Erasure Coding Kevin Hsieh - Querying Large Video Datasets with Low Latency and Low Cost |
12:15 pm - 1:15 pm | Lunch -- EISENHOWER BALLROOM |
1:15 pm - 2:30 pm | Socializing and Chat-filled Walk -- HOTEL GROUNDS Wii games room available 1:00 pm to midnight -- REAGAN-B |
2:30 pm - 4:00 pm | Session VI: Cluster Workloads and Scheduling -- COLONNADE BALLROOM Junwoo Park - Distribution-based Cluster Scheduling for Uncertainty Michael Kuchnik - Rethinking the Use of Machine Learning in Job Scheduling Andrew Chung - Owl: Data-driven Job Utility Functions |
4:00 pm - 4:15 pm | Break -- CONSTITUTION HALL |
4:15 pm - 6:15 pm | Session VII: Memory Enhancement -- COLONNADE BALLROOM Rajat Kateja - NVM Storage Needs Lazy Redundancy Nandita Vijaykumar - Expressive Memory Rethinking the Hardware-Software Contract with Rich Cross-Layer Abstractions Charlie McGuffey - The Parallel Persistent Memory Model |
6:15 pm - 7:30 pm | Dinner -- EISENHOWER BALLROOM |
7:30 pm - 8:30 pm | Session VIII: Short Work-In-Progress Talks -- COLONNADE BALLROOM Qing Zheng - Future Directions for Exascale Storage with DeltaFS Saksham Jain - Building DeltaFS Support in Scientific Libraries Ellango Jothimurugesan - Stochastic Gradient Descent on Streaming Data Sol Boucher - Lightweight Preemptible Functions |
8:30 pm - 10:00 pm | Reception/Poster Session II -- COLONNADE BALLROOM |
Morning | Workshop Talks |
8:45am - 9:15am | Full Breakfast -- CRYSTAL DINING ROOM Continental Breakfast -- CONSTITUTION HALL |
9:15am - 11:30am | Session IX: Close Strong! -- COLONNADE BALLROOM Daniel Berger - RobinHood: Tail Latency Aware Caching Jinliang Wei - Automating Dependence-aware Parallelization of Machine Learning Training on Distributed Shared Memory Chris Fallin & Pratik Fegade - Data-Structure-Aware Program Analysis for Macro-scale Optimizations |
Afternoon | Feedback, Departure |
11:30am - 1:15pm | Lunch and Industry Feedback |
1:30pm | Buses depart for Pittsburgh Airport & CMU (one in each direction) |
4:00pm | Arrive at Airport |
4:00pm |
Arrive at CMU |
Executive Director, Parallel Data Lab
VOICE: (412) 268-5485
PDL Administrative Manager
VOICE: (412) 268-6716