Course Overview
This course covers the map and zoom methodology for full-stack workload profiling in the cloud. The methodology consists of four parts: platform and infrastructure health check, map, zoom, and corrective action. The course explains how to use the map and zoom methodology to optimize performance by identifying latency, communication activity, and utilization hotspots. It also discusses the importance of a platform and infrastructure health check to ensure that the hardware and software are properly configured. The course includes examples of how to use tools such as the Intel Memory Latency Checker to analyze memory bandwidth and latency. By the end of the course, students will be able to describe the four parts of the map and zoom methodology and apply it to optimize performance in the cloud.
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Chapter Overview
This course covers the map and zoom methodology for full-stack workload profiling in the cloud. The methodology consists of four parts: platform and infrastructure health check, map, zoom, and corrective action. The course explains how to use the map and zoom methodology to optimize performance by identifying latency, communication activity, and utilization hotspots. It also discusses the importance of a platform and infrastructure health check to ensure that the hardware and software are properly configured. The course includes examples of how to use tools such as the Intel Memory Latency Checker to analyze memory bandwidth and latency. By the end of the course, students will be able to describe the four parts of the map and zoom methodology and apply it to optimize performance in the cloud.