High-Performance Computing Architecture Exploration with Stage-Enhanced Bayesian Optimization

The emergence of new applications in high-performance computing is driving the need for more efficient computing machines. As supercomputer architectures become increasingly complex, the combinatorial explosion of design spaces and the time-consuming nature of design simulations lead to challenging...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Fu, Vincent, Benazouz, Mohamed, Zaourar, Lilia, Munier-Kordon, Alix
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Bayes methods Bayesian optimization Computational modeling Computer architecture Design automation design space exploration Ensemble learning Explosions High performance computing Optimization Space exploration Supercomputers
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