Supercharging Analytics with GPUs + Graph Databases for Data Analysis & ML

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Details

Join us for the first meetup of this new meetup group! We have 2 presentations (one on GPUs and one on graph databases) and 2 lightning talks/Q&As.

Tentative/updated schedule:
18h15-18h30: arrival/registration
18h15-18h45: soft drinks/snacks & networking
18h45: Presentation on Analytics with GPUs by Masood Krohy
19h15:
- Demo video (Aaron Williams of OmniSci at GTC conference)
- Q&A with Aaron Williams about all things OmniSci
19h30: break
19h45: Presentation on data analysis and ML with graph databases by François Léveillé
20h15: Lightning talk (TBD)
20h30-21h30: networking/casual brainstorming

Mandatory registration: https://forms.gle/uou6po4DWDNQWPKv5
Important notes at the bottom; please read in full.

Presentation by Masood Krohy:
Supercharging Analytics with GPUs: OmniSci/cuDF vs Postgres/Pandas/PDAL
Summary: GPUs are known to significantly accelerate machine learning model training speeds, especially when using deep learning libraries like TensorFlow. But did you know that there are now solid options to also accelerate data analytics workloads, BI tools and dashboards with the help of GPUs? Join us for a presentation of performance benchmarks of GPU-based options and their CPU-based counterparts. We compare the performance that one could get from OmniSci Core DB (a GPU database) compared to the performance of Postgres DB (for data analytics) and PDAL (for LiDAR processing). On the in-memory side, we benchmark cuDF (NVIDIA's GPU DataFrame) against the widely popular Pandas DataFrame. We will share results and include some code walk-throughs and live benchmarking. Coming out of this technical talk, you will have insight regarding how GPUs can accelerate your data analytics and geospatial workloads.

Presentation by François Léveillé: details TBD

RSVP on this site, then confirm with form submission: after a Yes RSVP to temporarily reserve your seat, you have 24 hours to fill and send the above registration form; if not received within the delay, your RSVP may be changed to No (and your seat may be given automatically to the next in line). We use the responses to the above registration form to sign you in at the entry. This meetup group is used to facilitate networking between attendees.

Complete profile advantage: meetup group members with names and introduction section properly filled out in their profiles will have priority in attending the meetup in case of limited capacity.

The EDPP Montreal meetup group is the sister group to the ML meetup group, focused on data processing/engineering, and is being organized under the same terms; please see the important details common to our meetups posted at https://www.montrealml.dev/terms :
- Overbooking: this is a free-to-attend event and, as such, there is some overbooking. More details are at the above URL
- Photo/Video permission
- Attendee selection process (in case of limited capacity)

Presenters' Bios:
Masood Krohy is a Data Science Platform Architect/Advisor and most recently acted as the Chief Architect of UniAnalytica, an advanced data science platform with wide, out-of-the-box support for time-series and geospatial use cases. He has worked with several corporations in different industries in the past few years to design, implement and productionize Deep Learning and Big Data products. He holds a Ph.D. in computer engineering.

François Léveillé: Tech lead and president of Marid Technologies (more to come)