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UID:submissions.pasc-conference.org_PASC24_sess158_pos154@linklings.com
SUMMARY:P39 / ACMP11 - Performance Regression Unit Testing for High Perfor
 mance Computing Packages in Julia
DESCRIPTION:Poster\n\nDaniel Sergio Vega Rodríguez (Università della Svizz
 era italiana), Samuel Omlin (ETH Zurich / CSCS), and Juraj Kardoš and Olaf
  Schenk (Università della Svizzera italiana)\n\nThis research focuses on t
 he integration of performance testing into the unit testing phase for High
 -Performance Computing (HPC) software, emphasizing its importance in ensur
 ing optimal implementations and diagnosing performance regressions. In tra
 ditional unit testing, functional aspects are assessed, but performance te
 sting is often deferred to higher testing levels. The absence of performan
 ce testing at the unit level in HPC can lead to significant computational 
 efficiency issues, challenging to diagnose and address. The project aims t
 o develop a Julia package for a Performance Regression Unit Test Framework
 , seamlessly integrating with Julia's ecosystem and specifically made to b
 e easy to integrate in HPC projects. By employing modern software developm
 ent practices, the framework seeks to create a user-friendly, interpretabl
 e, robust, and efficient performance testing infrastructure. The research'
 s significance lies in enhancing the reliability and performance of critic
 al HPC software, promoting early detection and mitigation of performance i
 ssues, and advocating for best practices in software development for susta
 inability and maintainability in the Julia environment. Ultimately, the fr
 amework aims to bridge the gap between unit and performance testing in the
  HPC domain, contributing to improved software reliability, interpretabili
 ty, and performance.\n\nSession Chair: Iva Kavcic (Met Office)
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