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AGENDA: HPTS September 15-18, 2024

Sunday, September 15, 2024

Time Activity Location
3:00pm - 6:00pm Registration begins Hearst Social Hall
6:00pm - 7:30pm Dinner Crocker Dining Hall
7:30pm - 9:30pm Beer, Wine, and Chat Chapel
9:30pm - Midnight Night Owls' Whiskey, Wine, and Beer Director's Cottage

* Breakfast, Lunch and Dinner are held in Crocker Dining Hall. All talks are in the Chapel. All Night Owl's events are in the Director's Cottage.


Monday, September 16, 2024

Time Activity/Subject
7:30am - 8:30am Breakfast
8:30am - 8:40am

Opening Remarks - Justin and Pat

8:40am - 10:00am Session 1: Keynote and Student Intro Chair: Justin Levandoski

[1 hour] Keynote: Building the Future: A view into OpenAI's Products, Real-World Impact, and Systems Behind the Magic - Srinivas Narayanan (OpenAI)

[20mins] Student Intros - Ippokratis Pandis

10:00am - 10:30am Break and Snacks
10:30am - 12:00pm Session 2: Evolution of the Cloud and Databases Chair: Rebecca Taft

[30 mins] The "Hyper-model" Database - Chris Taylor (Google)

[30 mins] Teaching Elephants to Tell Time - David Wein (AWS)

[30 mins] Through the OLTP Looking Glass - 16 Years Later - Michael Stonebraker (MIT)

12:00pm - 1:30pm Lunch and Break
1:30pm - 3:00pm Session 3: DBOS Chair: Viktor Leis

[22 mins] Virtual Memory: a Huge Step Backwards - Daniel Bittman (Elephance)

[22 mins] Portable Compiler-Centric SIMD Code in Databases - Lawrence Benson (TU Munich)

[22 mins] Making Peace Between Mortal Enemies: Running a Database Management System in the Linux Kernel - Matt Butrovich (Carnegie Mellon University)

[22 mins] DBOS 2.0: Practical DB-OS Co-Design with Process Virtualization - Xinjing Zhou (MIT)

3:00pm - 3:30pm Break and Snacks
3:30pm - 5:00pm Session 4: Testing, Faults, and Privacy Chair: Danica Porobic

[22 mins] FoundationDB Testing? Not Very Good, Actually!- Ben Collins (Antithesis)

[22 mins] When Bad Hardware Happens to Good Databases- Scott Andreas (Apple)

[22 mins] Hyper-reliability for Hyper-scale Databases - David Bacon (Google)

[22 mins] Privacy-Preserving Databases: What will you favour? Serializability or scalability? (Cuz you aren't getting both) - Natacha Crooks (UC Berkeley)

5:00pm - 6:00pm Break / Walk on Beach
6:00pm - 7:30pm Dinner
7:30pm - 9:00pm Gong Show Emcee: Shel Finkelstein

[5 mins] Kyle in Absentia - Jepsen test of Datomic, and unusual Intra-Transaction Semantics - Adrian Cockcroft (OrionX)

[5 mins] Metadata is underrated - Danica Porobic (Oracle)

[5 mins] BigQuery Omni: Shipping and supporting the monorepo on AWS/Azure - Jeff Johnson (Google)

[5 mins] Vector-Relational Databases (and how to avoid historic recurrence) - Viktor Sanca (EPFL)

[5 mins] Using SmartNICs for Database Management - Phil Bernstein (Microsoft)

[5 mins] Leaky Memory Abstractions: Hidden Performance Loss on Modern Hardware - Hamish Nicholson (EPFL)

[5 mins] Shipping up to Space - Robert Bayer (ITU Copenhagen)

[5 mins] Plus ça change - Sailesh Krisnamurthy (Google)

[5 mins] Missing the Metaphor for Self-Driving Databases - Johann Schleier-Smith (CrystalDB)

[5 mins] Sharing Data Loading - Titus Theodorus (Ties) Robroek (ITU Copenhagen)

[5 mins] Make DBs (for GenAI) Declarative Again - Yannis Papakonstantinou (Google)

[5 mins] Text2SQL is Not Enough: Unifying AI and Databases with TAG - Liana Patel (Stanford)

[5 mins] Optimizing Distributed Protocols with Query Rewrites - David Chu (UC Berkeley)

[5 mins] Fixing Distributed Consensus to achieve scalability - Chuck Carman (Amazon)

9:00pm - Midnight Night Owls' Whiskey, Wine, and Beer - (Director's Cottage)

Tuesday, September 17, 2024

7:30am - 8:30am Breakfast
8:30am - 10:00am Session 5: Hardware Chair: Anastasia Ailamaki

[45 mins] Keynote: In Computer Architecture, We Don't Change the Questions, We Change the Answers - Mark Hill (University of Wisconsin-Madison and Microsoft)

[22 mins] We really move YOUR tail for you - David Lucey (Salesforce)

[22 mins] GPU Databases -- The New Modality of Data Analytics - Bobbi Yogatama (University of Wisconsin-Madison)

10:00am - 10:30am Break and Snacks
10:30am - 12:00pm Session 6: Hardware (cont'd) and Embedded DBs and the Edge Chair: Marc Brooker

[30 mins] Smart memories for vectorized data analytics - Helena Caminal (Google)

[30 mins] Object Storage and In-Process Databases are Changing Distributed Systems - Colin Breck (Tesla)

[30 mins] 60 Frames Per Second Cloud Databases - Peter Boncz (MotherDuck)

12:00pm - 1:30pm Lunch and Break
1:30pm - 3:00pm Session 7: HTAP and Streaming Chair: Sudipto Das

[22 mins] Who cares about HTAP? - Tianyu Li (MIT)

[22 mins] Amazon Zero-ETL - Gopal Paliwal (AWS)

[22 mins] The Future of Data Processing: Unifying Streaming, OLTP, and OLAP through Apache Flink, Kafka, and Iceberg - Eugene Koblov (Confluent)

[22 mins] Consistency in Motion - Chris Douglas (UC Berkeley)

3:00pm - 3:30pm Break and Snacks
3:30pm - 5:00pm Session 8: Caching Chair: Dan Ports

[22 mins] Stateful services: low latency, efficiency, scalability - pick three - Atul Adya (Databricks)

[22 mins] Caches Replicate Everything Around Me - Michael Abebe (Salesforce)

[22 mins] Building bridges in the cloud: More co-design for efficient and robust disaggregated architectures - Tiemo Bang (Berkeley)

[22 mins] Caching & Reuse of Subresults across Queries - Alex Hall (Firebolt)

5:00pm - 6:00pm Break / Walk on Beach
6:00pm - 7:30pm Dinner + HPTS Business
7:30pm - 8:30pm LLM + AI + DB Panel - Chair: Mehul Shah

LLMs + DBs Magdalena Balazinska (University of Washington)

Ihab Ilyas (Apple and University of Waterloo)

The Relational Model is dead. Long live the Relational Model!? - Carsten Binning (TU-Darmstadt)

Amol Deshpande (University of Maryland)

8:30pm - 9:00pm Beer, Wine, and Chat
9:00pm - Midnight Night Owls' Whiskey, Wine, and Beer - (Director's Cottage)


Wednesday, September 18, 2024

7:30am - 8:30am Breakfast
8:30am - 10:00am Session 9: ML + DB Chair: Sailesh Krishnamurthy

[22 mins] Running a Query Optimizer in Production: What we Learned (and What the Model didn't) - Matteo Interlandi (Microsoft)

[22 mins] The Impact of Machine Learning on Data Management Systems - Vikram Nathan (AWS)

[22 mins] The Case for Simpler Models - Margo Seltzer (UBC)

[22 mins] Data Management By Machines For Machines - Michael Cahill (University of Sydney)

10:00am - 10:30am Break and Snacks
10:30am - 12:00pm Session 10: Closing Chair: Justin Levandoski

[45 mins] Yours, Mine, and Ours - Pat Helland (Salesforce)

[45 hour] When More Data Becomes Too Much Data - Alexander Szalay (JHU)

12:00pm Farewell
12:05pm - 1:30pm Lunch