Completed
05:33 Optimizing Multithreading for Heterogeneous CPUs
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Tree Ensemble Classifiers on Heterogeneous Platforms
Automatically move to the next video in the Classroom when playback concludes
- 1 00:00 Introduction to Performance and Scalability Challenges
- 2 00:12 Understanding Heterogeneous CPUs
- 3 01:09 Introduction to Machine Learning Models
- 4 01:24 Decision Trees and Their Applications
- 5 02:27 Random Forest and Gradient Boosting
- 6 03:21 Experimental Settings and Data
- 7 03:50 Performance Analysis of Random Forest
- 8 05:00 Performance Analysis of Gradient Boosting
- 9 05:33 Optimizing Multithreading for Heterogeneous CPUs
- 10 08:03 Worker Pool Pattern for Improved Performance
- 11 10:32 Conclusion and Key Takeaways
- 12 11:07 Q&A and Closing Remarks
