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Energy-performance tradeoffs in multilevel checkpoint strategies.

, , , , , и . CLUSTER, стр. 278-279. IEEE Computer Society, (2014)

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Stefan Wild

Stefan Wild

Stefan Wild

Stefan Wild

Stefan Wild

 

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Benchmarking Derivative-Free Optimization Algorithms, и . SIAM Journal on Optimization, 20 (1): 172--191 (2009)Constructing a Simulation Surrogate with Partially Observed Output., , и . Technometrics, 66 (1): 1-13 (2024)Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education., , , , , , , , , и 7 other автор(ы). WORKS, стр. 74-80. IEEE, (2021)Visualizing and Improving the Robustness of Phase Retrieval Algorithms., , , и . ICCS, том 51 из Procedia Computer Science, стр. 815-824. Elsevier, (2015)DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks., , , , и . HiPC, стр. 42-51. IEEE, (2018)Exploiting Performance Portability in Search Algorithms for Autotuning., , , и . IPDPS Workshops, стр. 1535-1544. IEEE Computer Society, (2016)Active-learning-based surrogate models for empirical performance tuning., , и . CLUSTER, стр. 1-8. IEEE Computer Society, (2013)Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales., , , , , , , , , и 20 other автор(ы). Euro-Par, том 10417 из Lecture Notes in Computer Science, стр. 3-19. Springer, (2017)Research Spotlights.. SIAM Rev., 66 (3): 479 (2024)ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines., и . ISC, том 9137 из Lecture Notes in Computer Science, стр. 87-95. Springer, (2015)