A Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads

In this meetup, we continued the review of the paper, Quantitative Study of Locality in GPU Caches for Memory-Divergent Workloads. https://link.springer.com/article/10.1007/s10766-022-00729-2 Our Meetup: https://www.meetup.com/East-Bay-Tri-Valley-Machine-Learning-Meetup/ *Content* 00:00 GPU caching 06:02 Testing setup 14:29 Spatial Utilization warps 50:15 Memory-Divergent workloads 01:08:10 Cache impacts ============================ 😊About Us West Coast Machine Learning is a channel dedicated to exploring the exciting world of machine learning! Our group of techies is passionate about dee…