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- W4386585257 abstract "Continuous Integration (CI) has become a widely adopted practice in software development to improve reliability and quality. Nonetheless, using CI for High Performance Computing (HPC) applications poses unique challenges due to the complexity of the underlying systems, including the hardware and software stack. In this work, we present a case study of the HTR solver, an HPC application for simulating hydrodynamic turbulence, and how we implemented a CI system used to verify the correctness, performance, and functionality of the code. The approach involves a series of regular checks, automated data collection, and reporting mechanisms that help identify performance bottlenecks, scalability issues, and portability challenges. Using GitLab CI runners on multiple systems, we leverage a flexible technical implementation. Our work demonstrates how CI can help improve the design of scientific software, and we hope that our framework can serve as a valuable reference for similar initiatives among HPC application developers." @default.
- W4386585257 created "2023-09-11" @default.
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- W4386585257 date "2023-07-23" @default.
- W4386585257 modified "2023-09-29" @default.
- W4386585257 title "Verifying Functionality and Performance of HPC Applications with Continuous Integration" @default.
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- W4386585257 doi "https://doi.org/10.1145/3569951.3597557" @default.
- W4386585257 hasPublicationYear "2023" @default.
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