Let's get real and talk about hardware acceleration for database management systems. We are flexing hard with another season of database technical talks at Carnegie Mellon University in Fall 2018. The "Hardware Accelerated Database Lectures" is a semester-long seminar series featuring speakers from the leading developers of DBMSs designed to exploit modern computational and storage hardware. Each speaker will present the implementation details of their respective systems and examples of the technical challenges that they faced when working with real-world customers. Get your body back on campus in the cut and attend these lectures. Trust me on this.
All talks are open to the public (i.e., anyone in the Pittsburgh community). You do not need to be a current CMU student to attend. Drifters are especially welcome.
Videos will be posted after each talk.
Time: 12:00pm
Location: CIC - 4th floor (ISTC Panther Hollow Room)
Organizer: Andy Pavlo
This seminar series is held in conjunction with the following groups at Carnegie Mellon:
Date | Speaker | Talk Title | Video | |
---|---|---|---|---|
Sep 6 | Nima Negahban CTO, Kinetica |
Thinking Outside The Base: GPU-Accelerated Analytics With Kinetica | ||
Sep 20 | Todd Mostak CEO & Co-Founder, MapD |
Fast Software For Fast Hardware: How Analytics Platform MapD Exploits The Massive Parallelism Of GPUs | ||
Oct 4 | Jake Wheat Lead Architect, SQream |
SQream DB - Bigger Data On GPUs: Approaches, Challenges, Successes | ||
Oct 25 | Felipe Aramburu CTO & Co-Founder, BlazingDB |
The Design & Implementation Of BlazingDB: An Open-Source GPU-Accelerated Database Management System | ||
Nov 1 | Richard Heyns CEO & Co-Founder, Brytlyt |
Using GPU Databases to Build the Next Generation of Artificial Intelligence | ||
Nov 29 | Karsten Rönner CEO, Swarm64 |
The Swarm64 Data Accelerator (S64 DA): Processing OLAP Workloads Of Open-Source SQL-Databases With CPU+FPGA Cooperative Computing |