Memory system performance of programs with intensive heap allocation
ACM Transactions on Computer Systems (TOCS)
Using the SimOS machine simulator to study complex computer systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
FLASH vs. (Simulated) FLASH: closing the simulation loop
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Measuring Experimental Error in Microprocessor Simulation
ISCA '01 Proceedings of the 28th annual international symposium on Computer architecture
Can Trace-Driven Simulators Accurately Predict Superscalar Performance?
ICCD '96 Proceedings of the 1996 International Conference on Computer Design, VLSI in Computers and Processors
HPCA '99 Proceedings of the 5th International Symposium on High Performance Computer Architecture
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Simulation has become the tool of choice for advanced computer architecture research. Simulation model abstraction as well as compiler specifics can have significant impact on the observed performance trends and may lead to incorrect conclusions. This study presents a methodology that compares the predicted performance impact of several architectural techniques measured on a variety of simulator and compiler configurations. A significant difference in speedup between experiments indicates that a technique is sensitive to this particular variation. The results demonstrate a strong but non-uniform relationship between modeling abstraction and measurement error, as well as a significant sensitivity to the compiler.