Hardware Accelerated Database Lectures — Fall 2018

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.

Schedule

	Date	Speaker	Talk Title	Video
Sep 6	Sep 6	Nima Negahban	Thinking Outside the Base: GPU-Accelerated Analytics with Kinetica
Sep 20	Sep 20	Todd Mostak	Fast Software for Fast Hardware: How Analytics Platform MapD Exploits the Massive Parallelism of GPUs
Oct 4	Oct 4	Jake Wheat	SQream DB – Bigger data on GPUs: Approaches, Challenges, Successes
Oct 25	Oct 25	Felipe Aramburu	The Design & Implementation of BlazingDB: An Open-Source GPU-Accelerated Database Management System
Nov 1	Nov 1	Richard Heyns	Using GPU Databases to Build the Next Generation of Artificial Intelligence
Nov 29	Nov 29	Karsten Rönner	The Swarm64 Data Accelerator (S64 DA): Processing OLAP Workloads of Open-Source SQL-Databases with CPU+FPGA Cooperative Computing