JLR Challenge #2 Technical Workshop (1st Offering) by: Sadra Hakim

School of Computer Science – JLR Challenge #2 Technical Workshop

Practical DRAMSys for AI Inference (1st Offering)

Presenter: Sadra Hakim

Date: Wednesday, October 29, 2025

Time: 10:00 am

Location: Workshop Space, 4th Floor - 300 Ouellette Ave., School of Computer Science Advanced Computing Hub

Abstract:

This workshop session begins with a tour of DRAMSys’s internal concepts and flow, and how to interpret its output metrics. In the second part, we connect those ideas to AI inference, where we profile a standard AI model on CPU and GPU, translate observed behaviour into DRAMSys scenarios, and compare a few representative configurations. By the end, participants will be able to read DRAMSys metrics with confidence and apply them to justify a memory configuration that improves AI inference performance.

Workshop Outline:

1. Brief tour of internal concepts and components of DRAMSys.

2. Profile an AI run, and translate obsereved behaviour into DRAMSys parameters.

3. Compare a few configs, interpret results, and outline how to justify the optimal setup for inference.

Prerequisites:

Familiarity with python and linux commands would help but is not required.

Biography:

Sadra is a Ph.D. student in Computer Science at the University of Windsor, where his research focuses on applying machine learning and deep learning models to biomedical challenges.