2018 IEEE International Symposium on Workload Characterization (IISWC) 2018
DOI: 10.1109/iiswc.2018.8573479
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Invited Paper for the Hot Workloads Special Session Hot Regions in SPEC CPU2017

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Cited by 8 publications
(2 citation statements)
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“…The simulator was configured to the Intel Gainestown core [27], and Table 1 provides a summary of the configuration. We utilized the Spec2017 benchmark suite [28,29] with ref inputs for our experiments. The benchmark suite encompassed applications from diverse domains, including machine learning, liquid flow simulation, vision processing, and document parsing.…”
Section: Experimental Environmentmentioning
confidence: 99%
“…The simulator was configured to the Intel Gainestown core [27], and Table 1 provides a summary of the configuration. We utilized the Spec2017 benchmark suite [28,29] with ref inputs for our experiments. The benchmark suite encompassed applications from diverse domains, including machine learning, liquid flow simulation, vision processing, and document parsing.…”
Section: Experimental Environmentmentioning
confidence: 99%
“…Amaral et al [5] propose the Alberta Workloads for the SPEC CPU2017 benchmark suite hoping to improve the performance evaluation of techniques that rely on any type of learning, for example the formal Feedback-Directed Optimization (FDO). Additionally, in order to ameliorate large simulation times, Wu et al [27] analyze the program behavior and consequently propose simulation points [12] for the suite.…”
Section: Related Workmentioning
confidence: 99%