Talks and Poster Presentations (with Proceedings-Entry):

J. Fichte, M. Hecher, C. McCreesh, A. Shahab:
"Complications for Computational Experiments from Modern Processors";
Talk: CP 2021 - 27th International Conference on Principles and Practice of Constraint Programming, Montpellier, France; 2021-10-25 - 2021-10-29; in: "27th International Conference on Principles and Practice of Constraint Programming, {CP} 2021, Montpellier, France (Virtual Conference), October 25-29, 2021", (2021), 25:1 - 25:21.

English abstract:
In this paper, we revisit the approach to empirical experiments for combinatorial solvers. We provide a brief survey on tools that can help to make empirical work easier. We illustrate origins of uncertainty in modern hardware and show how strong the influence of certain aspects of modern hardware and its experimental setup can be in an actual experimental evaluation. More specifically, there can be situations where (i) two different researchers run a reasonable-looking experiment comparing the same solvers and come to different conclusions and (ii) one researcher runs the same experiment twice on the same hardware and reaches different conclusions based upon how the hardware is configured and used. We investigate these situations from a hardware perspective. Furthermore, we provide an overview on standard measures, detailed explanations on effects, potential errors, and biased suggestions for useful tools. Alongside the tools, we discuss their feasibility as experiments often run on clusters to which the experimentalist has only limited access. Our work sheds light on a number of benchmarking-related issues which could be considered to be folklore or even myths.

Experimenting, Combinatorial Solving, Empirical Work

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Stefan Woltran:

Created from the Publication Database of the Vienna University of Technology.