3 citations · 5 across the 13 of their papers we have counts for
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cs.PF2026
Top-Down Microarchitecture Analysis Without Causal Modelling Is Dangerous!
Chenxi Wang, Lei Wang, Wanling Gao +3
Top-Down Microarchitecture Analysis (TMA) is the standard for identifying CPU bottlenecks. However, TMA implicitly models performance via a single causal path: Workload(dataset, al…
cs.PF2026
Inference of Component Effect on System Performance
Chenxi Wang, Lei Wang, Wanling Gao +5
In a computer system, multiple components--such as the CPU, memory, and others--work together as a system whose performance can be directly measured. However, the effect of a compo…
cs.PF2024★ 2 cited
Achieving Consistent and Comparable CPU Evaluation
Chenxi Wang, Lei Wang, Wanling Gao +5
The challenge of CPU evaluation lies in the fact that user-perceived performance metrics can only be measured on an independently running system consisting of the CPU and other ind…