HMTT: A Hybrid Hardware/Software Tracing System for Bridging Memory   Trace's Semantic Gap
  Memory trace analysis is an important technology for architecture research, system software (i.e., OS, compiler) optimization, and application performance improvements. Hardware-snooping is an effective and efficient approach to monitor and collect memory traces. Compared with software-based approaches, memory traces collected by hardware-based approaches are usually lack of semantic information, such as process/function/loop identifiers, virtual address and I/O access. In this paper we propose a hybrid hardware/software mechanism which is able to collect memory reference trace as well as semantic information. Based on this mechanism, we designed and implemented a prototype system called HMTT (Hybrid Memory Trace Tool) which adopts a DIMMsnooping mechanism to snoop on memory bus and a software-controlled tracing mechanism to inject semantic information into normal memory trace. To the best of our knowledge, the HMTT system is the first hardware tracing system capable of correlating memory trace with high-level events. Comprehensive validations and evaluations show that the HMTT system has both hardware's (e.g., no distortion or pollution) and software's advantages (e.g., flexibility and more information). 
Yungang Bao, Jinyong Zhang, Yan Zhu, Dan Tang, Yuan Ruan, Mingyu Chen,   Jianping Fan
cs.AR cs.PF