Ghent University Academic Bibliography

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- PhD Thesis
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Performance analysis methods for understanding scaling bottlenecks in multi-threaded applications

Kristof Du Bois (UGent)

(2014)
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Per-thread cycle accounting in multicore processors

Kristof Du Bois (UGent) , Stijn Eyerman (UGent) and Lieven Eeckhout (UGent)

(2013) ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION. 9(4). p.1-22
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Criticality stacks: identifying critical threads in parallel programs using synchronization behavior

Kristof Du Bois (UGent) , Stijn Eyerman (UGent) , Jennifer Sartor (UGent) and Lieven Eeckhout (UGent)

(2013) Proceedings of the 40th Annual International Symposium on Computer Architecture. p.511-522
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Bottle graphs: visualizing scalability bottlenecks in multi-threaded applications

Kristof Du Bois (UGent) , Jennifer Sartor (UGent) , Stijn Eyerman (UGent) and Lieven Eeckhout (UGent)

(2013) ACM SIGPLAN NOTICES. 48(10). p.355-371
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- Conference Paper
- C1
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Speedup stacks: identifying scaling Bottlenecks in multi-threaded applications

Stijn Eyerman (UGent) , Kristof Du Bois (UGent) and Lieven Eeckhout (UGent)

(2012) IEEE international symposium on performance analysis of systems and software, Proceedings. p.145-155
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SWEEP: evaluating computer system energy efficiency using synthetic workloads

Kristof Du Bois (UGent) , Tim Schaeps (UGent) , Stijn Polfliet (UGent) , Frederick Ryckbosch (UGent) and Lieven Eeckhout (UGent)

(2011) HiPEAC '11 : proceedings of the 6th international conference on high performance and embedded architectures and compilers. p.159-166

Academic Bibliography

Performance analysis methods for understanding scaling bottlenecks in multi-threaded applications

Per-thread cycle accounting in multicore processors

Criticality stacks: identifying critical threads in parallel programs using synchronization behavior

Bottle graphs: visualizing scalability bottlenecks in multi-threaded applications

Speedup stacks: identifying scaling Bottlenecks in multi-threaded applications

SWEEP: evaluating computer system energy efficiency using synthetic workloads

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