RCX: Read-Copy Transact

Read-copy update (RCU) can provide ideal scalability for read-mostly workloads, but some believe that it provides only poor performance for updates. This belief is due to the lack of RCU-centric update synchronization mechanisms. RCU instead works with a range of update-side mechanisms, such as locking. In fact, many developers embrace simplicity by using global locking. Logging, hardware transactional memory, or fine-grained locking can provide better scalability, but each of these approaches has limitations, such as imposing overhead on readers or poor scalability on non-uniform memory access (NUMA) systems, mainly due to their lack of NUMA-aware design principles....

February 15, 2020 · 2 min · 298 words · Me

Linux Development History Visualization Youtube Channel

I created a Youtube channel[1]. I will upload videos for the git history between each release of the Linux kernel, just for jun. I use gource[2] for the visualization for now. The scripts I use for these videos are available[3] under GPL v3. If you want, you may use the scripts for your own video generation. [1] https://www.youtube.com/channel/UCI7qoGt1hOfCsI8hFqriYCg [2] https://gource.io/ [3] https://github.com/sjp38/linux_development_visualization

June 4, 2019 · 1 min · 62 words · Me

Linux Development History Visualization Youtube Channel

재미 삼아 리눅스 커널 릴리즈 때마다 git history 를 visualize 해서 올리는 유투브 채널[1]을 개설해 봤습니다. 지금은 visualization 에는 gource[2] 를 사용하고 있습니다. 이 비디오를 만드는데 사용되는 스크립트도 GPL v3 로 공개[3]했으니 필요한 분은 사용해 보셔도 좋을 것 같습니다. [1] https://www.youtube.com/channel/UCI7qoGt1hOfCsI8hFqriYCg [2] https://gource.io/ [3] https://github.com/sjp38/linux_development_visualization

June 4, 2019 · 1 min · 45 words · Me

DAPHICX: Data Access Pattern Hint Injecting Compiler Extension

Memory pressure is inevitable as the size of working sets is rapidly growing while the capacity of dynamic random access memory (DRAM) is not. Meanwhile, storage devices have evolved so that their speed is comparable to the speed of DRAM while their capacity scales are comparable to that of hard disk drives (HDD). Thus, hierarchial memory systems configuring DRAM as the main memory and high-end storages as swap devices will be common....

May 30, 2019 · 2 min · 307 words · Me

DAPHICX: Data Access Pattern Hint Injecting Compiler Extension

Memory pressure is inevitable as the size of working sets is rapidly growing while the capacity of dynamic random access memory (DRAM) is not. Meanwhile, storage devices have evolved so that their speed is comparable to the speed of DRAM while their capacity scales are comparable to that of hard disk drives (HDD). Thus, hierarchial memory systems configuring DRAM as the main memory and high-end storages as swap devices will be common....

May 30, 2019 · 2 min · 307 words · Me