Work

Reproducible and hackable software benchmarking with(out) compute clusters

Year: 2025

Type: article

Abstract: We present Simsala, an easy-to-install and easy-to-use collection of scripts supporting benchmarking on clusters of compute nodes. While designed with applications for benchmarking solving technologies like SAT and extensions, our solution can be easily transferred to many other application scenarios as well. In this work, we discuss the design objectives behind Simsala, provide some implementation details, and illustrate with case studies how Simsala has been applied in the past for extensive evaluations.

Source: International Journal on Software Tools for Technology Transfer

DOI: 10.1007/s10009-025-00811-3

Authors: Maximilian Heisinger, Martina Seidl

Institution: Johannes Kepler University of Linz

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,290

OpenAlex ID: W4410486240