Presentation
Bringing It HOME: Analyzing Contention Hotspots Across the Memory Hierarchy with Low Overhead
DescriptionThe increasing demand for computing in scientific research has given rise to memory contention and performance bottlenecks. Existing solutions often carry high overheads or lack the necessary detail for effective contention mitigation. To tackle these challenges, we are developing a powerful tool, HOME (Hierarchy-Oriented Memory Evaluation), which can efficiently identify contention by capturing detailed load-store traces and passing them to configurable memory hierarchy models.
HOME helps programmers identify the code regions that create contention at various memory hierarchy levels. This enables developers to redesign applications and optimize memory hierarchy designs efficiently. Our preliminary assessments indicate that HOME can save time by up to 50x compared to the state-of-the-art, with an average error rate of 6.51%. We also provide solutions for mitigating the impact of sample drops on contention analysis, a common issue in trace-based analysis.
HOME helps programmers identify the code regions that create contention at various memory hierarchy levels. This enables developers to redesign applications and optimize memory hierarchy designs efficiently. Our preliminary assessments indicate that HOME can save time by up to 50x compared to the state-of-the-art, with an average error rate of 6.51%. We also provide solutions for mitigating the impact of sample drops on contention analysis, a common issue in trace-based analysis.
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
TP
XO/EX