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DTSTART;TZID=Europe/Stockholm:20260701T093000
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UID:submissions.pasc-conference.org_PASC26_sess149_msaSC110@linklings.com
SUMMARY:Neko-TOP: Exascale Topology Optimization Framework for Transient F
 low Problems
DESCRIPTION:Tim Olsen (Technical University of Denmark), Abbas Mousavi (Ku
 ngliga Tekniska Högskolan), Harrison Nobis (Umeå University), and Casper A
 ndreasen and Niels Aage (Technical University of Denmark)\n\nComputational
  design increasingly integrates machine-driven optimization with human eng
 ineering expertise. Ensuring trust in automated design recommendations is 
 critical, particularly for complex systems like transient flow. Topology O
 ptimization offers a mathematical framework for optimal design, but transi
 ent flow problems demand vast computational resources: full flow simulatio
 ns to evaluate objectives and adjoint simulations for sensitivities which 
 require storing entire simulation histories.\n\nWe present Neko-TOP, a GPU
 -accelerated Topology Optimization framework targeting human-machine co-de
 sign at exascale. Built upon the validated Neko spectral element CFD libra
 ry, our framework provides engineers with trustworthy computational guidan
 ce through reproducible, high-fidelity simulations. Our implementation dem
 onstrates near-ideal scaling up to 256 GPUs and has been validated on LUMI
 , verifying result consistency across systems. By grounding computational 
 optimization in validated physics, we enable confident human-machine colla
 boration on complex fluid design problems previously infeasible on convent
 ional systems.\n\nIn this presentation, we discuss scalability achievement
 s, key challenges in adjoint storage and reproducibility, and demonstrate 
 how close integration of CFD with Topology Optimization fosters trust in c
 omputational design recommendations for transient flow problems.\n\nDomain
 : Engineering, Computational Methods and Applied Mathematics\n\nSession Ch
 air: Dominik Obrist (University of Bern)\n\n
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