Machine Learning Tools: Skyline and RL-Scope for Performance Optimization

Explore two cutting-edge machine learning optimization tools in this 32-minute talk by Gennady Pekhimenko, Assistant Professor at the University of Toronto and AI Chair at Vector Institute. Dive into Skyline, an interactive in-editor tool for computational performance profiling, visualization, and debugging of PyTorch deep neural networks. Learn about RL-Scope, a cross-stack profiler designed specifically for deep reinforcement learning workloads. Gain insights into how these innovative tools can enhance your machine learning development process and improve the efficiency of your ML systems.

Machine Learning Tools: Skyline and RL-Scope