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001031683 037__ $$aFZJ-2024-05793
001031683 1001_ $$0P:(DE-Juel1)177985$$aRüttgers, Mario$$b0$$ufzj
001031683 245__ $$aDiploma Best Paper Award: 15th lnternational Conference on Parallel Processing and Applied Mathematics (PPAM 2024)
001031683 260__ $$bPPAM 2024 Chairs of Program Committee
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001031683 502__ $$d2024
001031683 520__ $$aDIPLOMA: PPAM Besf Paper Award. The lnternational Conference on Parallel Processing and Applied Mathematics (PPAM) Best Paper Award is given upon recommendation of the PPAM Chairs and Program Committee in recognition of the research paper's quality, originality, and significance of the work in high performance computing. The PPAM Best Paper was first awarded at PPAM 2019 in Bialystok. The PPAM 2024 Award for Workshop is bestowed to: Mario Rüttgers, Fabian Hübenthal, Makoto Tsubokura, and Andreas Lintermann for their paper "Parallel reinforcement learning and Gaussian process regress for improved physics-based nasal surgery planning".
001031683 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001031683 536__ $$0G:(EU-Grant)101136269$$aHANAMI - Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration (101136269)$$c101136269$$x1
001031683 7001_ $$0P:(DE-HGF)0$$aHübenthal, Fabian$$b1
001031683 7001_ $$0P:(DE-HGF)0$$aTsubokura, Makoto$$b2
001031683 7001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b3$$ufzj
001031683 8564_ $$uhttps://ppam.edu.pl
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