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

doi:10.1145/3182174

	PTAT: An Efficient and Precise Tool for Tracing and Profiling Detailed TLB Misses
	Zhang, Jiutian 1,2; Liu, Yuhang 1,2; Li, Haifeng 1,2; Zhu, Xiaojing 1,2; Chen, Mingyu 1,2
	2018-06-01
发表期刊	ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS
ISSN	1539-9087
卷号	17 期号:3 页码:17
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.
关键词	TLB misses hardware profiling tool memory trace collector efficiency precision
DOI	10.1145/3182174
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000434645800005
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5214
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.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, 6 Kexueyuan South Rd Zhongguancun, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, 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.