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Improving the Performance and Usability of Server Systems through Dynamic Use of Persistent Memory
http://doi.org/10.5626/JOK.2021.48.10.1077
Persistent Memory (PM) has been studied assuming that it can only be used as main memory, storage, or storage cache. In this paper, we present HMMS (Hybrid Memory Management System), which is a memory management system that allows PM to play all these roles, not exclusively, but simultaneously. Specifically, HMMS dynamically and appropriately allocates these three roles by reflecting the state of the computing system and the users’ requests. With HMMS, we aim to improve the functionality and performance of computing systems where DRAM and PM coexist.
Optimizing Swap Use of Programs Using Memory Access Profiling
Yunjae Lee, Heon Y. Yeom, Hyuck Han
http://doi.org/10.5626/JOK.2020.47.5.466
The slow growth rate of main memory and modern computing workloads requires lots of memory, making main memory the bottleneck of system performance. Swapping provides a large virtual memory to programs by utilizing fast but small main memory and large secondary storage. However, programs cannot accomplish optimal performance due to conservative swapping policy which targets general workloads. The objective of this study was to analyze memory access pattern of programs and optimize programs to utilize swapping considering memory access pattern. A low-overhead memory profiling technique and a simple optimization technique can help programmers optimize their programs with ease. We optimized six workloads using these techniques and improved the performance of the workloads by 43%.
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