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PTAT: An Efficient and Precise Tool for Tracing and Profiling Detailed TLB Misses

文献类型：期刊论文

作者Zhang, Jiutian1,2; Liu, Yuhang1,2; Li, Haifeng1,2; Zhu, Xiaojing1,2; Chen, Mingyu1,2
刊名ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS
出版日期2018-06-01
卷号17期号:3页码:17
关键词TLB misses hardware profiling tool memory trace collector efficiency precision
ISSN号1539-9087
DOI10.1145/3182174
英文摘要As the memory access footprints of applications in areas like data analytics increase, the latency overhead of translation lookaside buffer (TLB) misses increases. Thus, the efficiency of TLB becomes increasingly critical for overall system performance. Analyzing TLB miss traces is useful for hardware architecture design and software application optimization. Utilizing cycle-accurate simulators or instrumentation tools is very time-consuming and/or inaccurate for tracing and profiling TLB misses. In this article, we propose an efficient and precise tool to collect and profile last-level TLB misses. This tool utilizes a novel software method called Page Table Access Tracing (PTAT), storing last-level page table entries of certain workload processes into a reserved uncached memory region. Therefore, each last-level TLB miss incurred by user process corresponds to one uncached page table access to main memory, which can be captured and recorded by a hardware memory bus monitor. The detected information is then dumped into offline storage. In this manner, full TLB miss traces are collected and can be analyzed flexibly. Compared to previous software-based methods, this method achieves higher performance. Experiments show that, compared with a state-of-the-art kernel instrumentation method (BadgerTrap), which lacks complete dumping trace function, the speedup is still up to 3.88-fold for memory-intensive benchmarks. Due to the improved efficiency and completeness of tracing, case studies validate that more flexible profiling can be conducted, which is of great significance for TLB performance optimization. The accuracy of PTAT is verified by both dedicated sequence and performance counters.
资助项目National Key Research and Development Plan of China[2017YFB1001602] ; NSFC (National Science Foundation of China)[61772497] ; NSFC (National Science Foundation of China)[61521092] ; State Key Laboratory of Computer Architecture Foundation[CARCH2601]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000434645800005
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/5213]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Yuhang
作者单位1.Univ Chinese Acad Sci, 6 Kexueyuan South Rd Zhongguancun, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, 6 Kexueyuan South Rd Zhongguancun, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Jiutian,Liu, Yuhang,Li, Haifeng,et al. PTAT: An Efficient and Precise Tool for Tracing and Profiling Detailed TLB Misses[J]. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS,2018,17(3):17.
APA Zhang, Jiutian,Liu, Yuhang,Li, Haifeng,Zhu, Xiaojing,&Chen, Mingyu.(2018).PTAT: An Efficient and Precise Tool for Tracing and Profiling Detailed TLB Misses.ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS,17(3),17.
MLA Zhang, Jiutian,et al."PTAT: An Efficient and Precise Tool for Tracing and Profiling Detailed TLB Misses".ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS 17.3(2018):17.

入库方式： OAI收割

来源：计算技术研究所

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