This archive contains the complete source code, measurement scripts,measured data, postprocessing scripts, and figures for the paper: Max Lübke and Dorian Stoll and Bettina Schnor and Stefan Petri:HPC Benchmark Game: Comparing Programming Languages RegardingEnergy-Efficiency for Applications from the HPC Field.Accepted for PECS2025 - Workshop on Performance and Energy Efficiencyin Concurrent and Distributed Systems, Co-located with Euro-Par 2025,Dresden, Germany, August 26, 2025. https://pecs-workshop.github.io/2025 The HPC Benchmark Game is a collection of 5 benchmark programs, eachimplemented in up to 5 programming languages. The intention was tocompare the impact of the programming language on runtime, energy andmemory usage. Unlike its namesake, the Computer Language BenchmarkGame, this focuses on parallelized, HPC-adjacent applications. The source code for the benchmark applications is maintained onhttps://gitup.uni-potsdam.de/bsvs/public/hpc-benchmark-game For the energy measurement, it uses the EMA library as asubmodule. That is maintained on https://github.com/PERFACCT/EMA This archive includes a copy of the EMA code in its entirety. One way to build the provided programs is by using the includedDockerfile. See README.md for further instructions. On the PIK HPC2024 cluster, which was used for the measurements shownin the paper, using Docker and meson was not feasible, thus the buildand measurements were done on bare metal with shell scripts. SeeREADME-HPC2024.txt for further details. The directory PECS2025-Figures contains the measured data,postprocessing shell scripts, and figures that were used for the paper(and some more that did not make it into the paper).