001027498 001__ 1027498
001027498 005__ 20250314084122.0
001027498 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-03907
001027498 037__ $$aFZJ-2024-03907
001027498 041__ $$aEnglish
001027498 1001_ $$0P:(DE-Juel1)167509$$aReuter, Jan Andre$$b0$$eCorresponding author
001027498 1112_ $$aISC High Performance 2024$$cHamburg$$d2024-05-13 - 2024-05-15$$gISC24$$wGermany
001027498 245__ $$aPerformance Analysis of OpenMP Target Offloading in Score-P
001027498 260__ $$c2024
001027498 3367_ $$033$$2EndNote$$aConference Paper
001027498 3367_ $$2BibTeX$$aINPROCEEDINGS
001027498 3367_ $$2DRIVER$$aconferenceObject
001027498 3367_ $$2ORCID$$aCONFERENCE_POSTER
001027498 3367_ $$2DataCite$$aOutput Types/Conference Poster
001027498 3367_ $$0PUB:(DE-HGF)24$$2PUB:(DE-HGF)$$aPoster$$bposter$$mposter$$s1724069823_30637$$xAfter Call
001027498 520__ $$aWith increasing demand in compute performance of HPC systems, accelerators are getting the main focus for application development. Many of the Top500 HPC systems now include accelerators, with the top 3 systems alone having accelerators of three different vendors. This diversity requires application developers to choose portable frameworks to support all at the same time, as developing applications via each native API is time consuming. One of the available frameworks is OpenMP with its offloading capability and availability for C, C++ and Fortran. With OpenMP offloading gaining more traction recently, performance analysis becomes important as well. With this poster, we present our first results in adding support for OpenMP offloading to our instrumentation and measurement infrastructure Score-P using the OpenMP Tools Interface. We demonstrate how we can use both host side callbacks and the device tracing interface to build a measurement adapter capable of analyzing OpenMP applications effectively. We show the current support landscape between different compilers and present first results for profiles and event traces based on the SPEC HPC 2021 618.tealeaf_s benchmark running on the LUMI HPC cluster at CSC in Finland.
001027498 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001027498 536__ $$0G:(BMBF)16ME0630$$aBMBF 16ME0630 - ENSIMA - Energieoptimiertes High-Performance Computing für Finite-Elemente-Simulationen in der Produktentwicklung (16ME0630)$$c16ME0630$$x1
001027498 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x2
001027498 7001_ $$0P:(DE-HGF)0$$aWilliams, William R.$$b1
001027498 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b2
001027498 8564_ $$uhttps://juser.fz-juelich.de/record/1027498/files/ISC%202024%20-%20Reuter%2C%20Jan%20-%20Score-P%20OpenMP%20Offload%20Support.pdf$$yOpenAccess
001027498 8564_ $$uhttps://juser.fz-juelich.de/record/1027498/files/ISC%202024%20-%20Reuter%2C%20Jan%20-%20Score-P%20OpenMP%20Offload%20Support.gif?subformat=icon$$xicon$$yOpenAccess
001027498 8564_ $$uhttps://juser.fz-juelich.de/record/1027498/files/ISC%202024%20-%20Reuter%2C%20Jan%20-%20Score-P%20OpenMP%20Offload%20Support.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001027498 8564_ $$uhttps://juser.fz-juelich.de/record/1027498/files/ISC%202024%20-%20Reuter%2C%20Jan%20-%20Score-P%20OpenMP%20Offload%20Support.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001027498 8564_ $$uhttps://juser.fz-juelich.de/record/1027498/files/ISC%202024%20-%20Reuter%2C%20Jan%20-%20Score-P%20OpenMP%20Offload%20Support.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001027498 909CO $$ooai:juser.fz-juelich.de:1027498$$pdriver$$pVDB$$popen_access$$popenaire
001027498 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)167509$$aForschungszentrum Jülich$$b0$$kFZJ
001027498 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aExternal Institute$$b1$$kExtern
001027498 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132199$$aForschungszentrum Jülich$$b2$$kFZJ
001027498 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001027498 9141_ $$y2024
001027498 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001027498 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001027498 980__ $$aposter
001027498 980__ $$aVDB
001027498 980__ $$aUNRESTRICTED
001027498 980__ $$aI:(DE-Juel1)JSC-20090406
001027498 9801_ $$aFullTexts