28th Almost Annual Workshop & Retreat
November 7 - 9, 2022
INFO & Agenda
We are pleased to welcome our PDL Consortium Member Companies
to the 28th Annual Parallel Data Lab Workshop and Retreat.
GENERAL INFORMATION
OUR NEWSLETTER
2022 RETREAT RESOURCES - Event talks, posters, and videos - coming soon
(Industry attendees, contact your Liaison for the username/password or
for more information)
RETREAT AGENDA
Monday, November 7: Omni William Penn, Pittsburgh
| 8:30 am - 9:30 am | Registration & Continental Breakfast |
| 9:30 am - 10:00 am | Welcome
Greg Ganger - Parallel Data Lab 2022 Retreat Welcome & Overview |
| 10:00 am - 10:40 am | New PDL Faculty Introduce Themselves
Akshitha Sriraman - Enabling Efficient, Sustainable, Equitable Web Systems |
| 10:40 am - 12:00 pm | Industry Poster Session |
| 12:00 pm - 1:15 pm | Lunch |
| 1:15 pm - 3:30 pm | Session I: Storage Device and System Interfaces Thomas Kim - Redundancy and Availability for Arrays of Zoned Namespace SSDs Sara McAllister - FairyWREN: A Superb Cache Co-optimized for Write-Limited Flash Ankush Jain - CARP: An Adaptive Partitioner for Range Queries on Streaming Data |
| 3:30 pm - 3:45 pm | Break |
| 3:45 pm - 5:00 pm | Session II: Short Work-in-progress Talks + 2 More New PDL Faculty Introductions Wan Shen Lim - Database Gyms Juncheng Yang - C2DN: How to Harness Erasure Codes at the Edge for Efficient Content Delivery Hojin Park - MACARON: Multi-cloud/region Aware Cache Auto-configuRatiON More New PDL Faculty Introductions Dimitrios Skarlatos - OS and Hardware Support for the Datacenter |
| 5:00 pm - 6:00 pm | Special Session |
| 6:00 pm - 7:30 pm | Dinner |
| 7:30 pm - 8:30 pm | Session III: Short Work-in-Progress Talks + Poster Previews Ellango Jothimurugesan - Federated Learning Under Distributed Concept Drift Michael Kuchnik - Validating Large Language Models with ReLM Nj Mukherjee - Orchestrating Computation on Computational Storage Devices PDL Students - 1-minute Intros to Non-speaker Poster Presenters |
| 8:30 pm - 10:30 pm | Reception/Poster Session I |
Tuesday, November 8: Omni William Penn, Pittsburgh
| 8:15 am - 9:00 am | Breakfast |
| 9:00 am - 10:30 am | Session IV: More Efficient ML Given Heterogeneous Clusters Suhas J Subramanya - Apollo: Heterogeneity-aware, Goodput-optimized ML-cluster Scheduling Daiyaan Arfeen - Exploiting Heterogeneity for Efficient Deep Learning |
| 10:30 am - 10:45 am | Break |
| 10:45 am - 12:15 pm | Session V: Redundancy and Data Placement in Cluster Storage Francisco Maturana - Tiger: Disk-adaptive Redundancy Without Placement Constraints Sanjith Athlur - Decoupling Data Stripes and Redundancy Groups |
| 12:15 pm - 1:30 pm | Lunch |
| 1:30 pm - 2:30 pm | Social activities or personal time |
| 2:30 pm - 4:00 pm | Session VI: ML System Efficiency Pratik Fegade - CoRa: Ragged Tensor Compilation With Minimal Padding Michael Kuchnik - Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines |
| 4:00 pm - 4:15 pm | Break |
| 4:15 pm - 6:15 pm | Session VII: Automate That Data System Matt Butrovich - Tigger: A Database Proxy That Bounces With User-Bypass Hojin Park - Mimir: Finding Cost-efficient Storage Configurations in the Public Cloud Brian Schwedock - täkō: A Polymorphic Cache Hierarchy for General-Purpose Optimization of Data Movement |
| 6:15 pm - 7:30 pm | Dinner |
| 7:30 pm - 8:30 pm | Session VIII: Short Work-In-Progress Talks Jiyu Hu - Rethinking Erasure-Coding Libraries in the Age of Optimized Machine Learning Yiwei Zhao - PIM-tree: A Theoretically and Practically Efficient Index for Processing-In-Memory Tianyu Zhang - Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding Phil Gibbons - Two Topics You MAY Find Interesting (AI-in-the-Wild & Processing-in-Memory) |
| 8:30 pm - 10:00 pm | Reception/Poster Session II |
Wednesday, November 9: Omni William Penn, Pittsburgh
| 8:45 am - 9:15 am | Breakfast |
| 9:15 am - 10:45 am | Session IX: Wake Up! With Architectural Assists Ziqi Wang - Memento: Architectural Support for Ephemeral Memory Management Mohammad Bakhshalipour - Bridging Robotics and Computer Architecture |
| 10:45 am - 11:00 am | Break |
| 11:00 am - 12:30 pm | Session X: Can't Get Enough Caching!
Daniel Wong - Baleen: ML-driven Flash Caching Juncheng Yang - Segcache: Memory-efficient and High-throughput DRAM Cache for Small Objects |
| 12:30 pm - 12:45 pm | Grab lunch and back to meeting room |
| 12:45 pm - 2:00 pm | Lunch and Industry Feedback Session |
Accommodations
The entire PDL Retreat will occur at the Omni William Penn Hotel in downtown Pittsburgh. Industry guests should book their room for all nights needed, using this link or by calling +1-800-THE-OMNI (1-800-843-633) and referencing "PDL Retreat" to access the special rate for the room block.
Maps
The Omni William Penn Hotel is centrally located in downtown Pittsburgh, PA. The hotel's physical address is 530 William Penn Place, Pittsburgh, Pennsylvania, 15219.
Parking
Retreat parking will be at the Omni William Penn parking facility. There are several options if you are driving your own vehicle.
There is a charge for both self- and valet-parking:
Self-parking: Self-parking is offered in the Mellon Square parking garage located across from the hotel. There are no in/out privileges for this lot.The current self-parking rate is $20.00 per vehicle, per night weekdays and $6.00 on weekends. (Prices may vary).
Valet-parking: Valet parking is available to overnight guests daily. The current overnight valet rate is $38.00, including in/out priveleges. Please note that valet can park only standard size vehicles; no oversize vehicles can be accommodated.
Transportation
There are several options available for getting to and from the retreat hotel and the airport. Please make your own transportation arrangements from the airport to your hotel.
Uber Pittsburgh - learn more
Uber is a mobile application that connects you with a driver at the push of a button.Drivers arrive curbside in just minutes, and you can track the arrival of your ride. Payment is seamlessly billed to your credit card, PayPal account, or Google Wallet at the end of your trip—no need to tip.
You can download the Uber app using the following links:
iTunes App Store, Google Play Store, or Blackberry App World.
Car Services
Airport Sedan Service(Larry
Waite)
Advance reservations are required, ~$60 each way
Contact Larry Waite, 412-401-LIMO
(5466)
Gateway Limo
Rates: $60 from the airport to Downtown, Oakland, Shadyside, and Squirrel Hill (sedan). The rate for a van, a 14 passenger vehicle, is $78.00 per hour. Mention CMU when making a reservation.
Call the office at 412-782-5800 or 1-800-390-1222 (phones answered 24/7) for reservations.
Email: amydemeri@comcast.net
Harper's Transportation
Harper1084@verizon.net - 412-531-1940
Classy Cab – SUV cabs
http://www.classycab.com
Phone 412-322-5080
Fax 412-322-5085
Rental Car available at the airport from all the major companies.
Taxi Service (approximately $50 each way)
- Yellow Cab: 412-321-8100
- Cab Service: 412-855-4484
Supershuttle - book online
- Shared van - $35.55 each way, $9 per additional passenger
- Private van - $115.55 each way
- Executive sedan - $73 each way
CONTACTS:
Director, Parallel Data Lab
VOICE: (412) 268-1297
Executive Director, Parallel Data Lab
VOICE: (412) 268-5485
PDL Administrative Manager
VOICE: (412) 268-6716