Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Sam Van den Steen

ORCID iD: 0000-0003-3630-2214

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- Conference Paper
- P1
- open access
RPPM : Rapid Performance Prediction of Multithreaded workloads on multicore processors

Sander De Pestel, Sam Van den Steen, Shoaib Akram and Lieven Eeckhout (UGent)

(2019) 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). In IEEE International Symposium on Performance Analysis of Systems and Software-ISPASS p.257-267
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- PhD Thesis
- open access
Microarchitecture-independent analytical processor performance and power modeling

Sam Van den Steen

(2018)
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- Journal Article
- A1
- open access
RPPM : rapid performance prediction of multithreaded applications on multicore hardware

Sander De Pestel, Sam Van den Steen, Shoaib Akram and Lieven Eeckhout (UGent)

(2018) IEEE COMPUTER ARCHITECTURE LETTERS. 17(2). p.183-186
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- Journal Article
- A1
- open access
Modeling superscalar processor memory-level parallelism

Sam Van den Steen and Lieven Eeckhout (UGent)

(2018) IEEE COMPUTER ARCHITECTURE LETTERS. 17(1). p.9-12
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Analytical processor performance and power modeling using micro-architecture independent characteristics

Sam Van den Steen, Stijn Eyerman (UGent) , Sander De Pestel, Moncef Mechri, Trevor Carlson, David Black-Schaffer, Erik Hagersten and Lieven Eeckhout (UGent)

(2016) IEEE TRANSACTIONS ON COMPUTERS. 65(12). p.3537-3551
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Micro-architecture independent analytical processor performance and power modeling

Sam Van den Steen, Sander De Pestel, Moncef Mechri, Stijn Eyerman (UGent) , Trevor Carlson, David Black-Schaffer, Erik Hagersten and Lieven Eeckhout (UGent)

(2015) IEEE International Symposium on Performance Analysis of Systems and Software-ISPASS. p.32-41