Performance Evaluation in Industry: A Personal Perspective
Performance Evaluation: Origins and Directions
Myths and realities: the performance impact of garbage collection
Proceedings of the joint international conference on Measurement and modeling of computer systems
Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
Performance Modeling and Evaluation of Distributed Component-Based Systems Using Queueing Petri Nets
IEEE Transactions on Software Engineering
KLAPER: An Intermediate Language for Model-Driven Predictive Analysis of Performance and Reliability
The Common Component Modeling Example
Characterizing and modeling the behavior of context switch misses
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
The Palladio component model for model-driven performance prediction
Journal of Systems and Software
Investigating Cache Parameters of x86 Family Processors
Proceedings of the 2009 SPEC Benchmark Workshop on Computer Performance Evaluation and Benchmarking
Producing wrong data without doing anything obviously wrong!
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Issues in performance modeling of applications with garbage collection
Proceedings of the 1st international workshop on Quality of service-oriented software systems
When Misses Differ: Investigating Impact of Cache Misses on Observed Performance
ICPADS '09 Proceedings of the 2009 15th International Conference on Parallel and Distributed Systems
All of Statistics: A Concise Course in Statistical Inference
All of Statistics: A Concise Course in Statistical Inference
Validating model-driven performance predictions on random software systems
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Statistical inference of software performance models for parametric performance completions
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
Computer memory: why we should care what is under the hood
MEMICS'11 Proceedings of the 7th international conference on Mathematical and Engineering Methods in Computer Science
On the accuracy of cache sharing models
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Towards software performance engineering for multicore and manycore systems
ACM SIGMETRICS Performance Evaluation Review
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Software performance evaluation relies on the ability of simple models to predict the performance of complex systems. Often, however, the models are not capturing potentially relevant effects in system behavior, such as sharing of memory caches or sharing of cores by hardware threads. The goal of this paper is to investigate whether and to what degree a simple linear adjustment of service demands in software performance models captures these effects and thus improves accuracy. Outlined experiments explore the limits of the approach on two hardware platforms that include shared caches and hardware threads, with results indicating that the approach can improve throughput prediction accuracy significantly, but can also lead to loss of accuracy when the performance models are otherwise defective.