Kernel

A DAMON showcase website[1] is open. There are the official documentation of DAMON[2], the heatmap format dynamic access pattern of various realistic workloads for heap area[3], mmap()-ed area[4], and stack[5] area, the dynamic working set size distribution[6] and chronological working set size changes[7], and the latest performance test results[8]. [1] https://damonitor.github.io [2] https://damonitor.github.io/doc/html/latest [3] https://damonitor.github.io/test/result/visual/latest/heatmap.0.html [4] https://damonitor.github.io/test/result/visual/latest/heatmap.1.html [5] https://damonitor.github.io/test/result/visual/latest/heatmap.2.html [6] https://damonitor.github.io/test/result/visual/latest/wss_sz.html [7] https://damonitor.github.io/test/result/visual/latest/wss_time.html [8] https://damonitor.github.io/test/result/perf/latest/html/index.html

With increasingly data-intensive workloads and limited DRAM capacity, optimal memory management based on dynamic access patterns is becoming increasingly important. Such mechanisms are only possible if accurate and efficient dynamic access pattern monitoring is available. DAMON is a Data Access MONitoring framework subsystem for the Linux kernel developed for such memory management. It is designed with some key mechanism (refer to Design for the detail) that make it accurate (the monitoring output is useful enough for DRAM level memory management; It might not be appropriate for CPU Cache levels, though), light-weight (the monitoring overhead is low enough to be applied online), and scalable (the upper-bound of the overhead is in constant range regardless of the size of target workloads)....