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An Adaptive Tuning Sparse Fast Fourier Transform., , , , и . PCM (2), том 10736 из Lecture Notes in Computer Science, стр. 991-999. Springer, (2017)Comprehensive Workload Analysis and Modeling of a Petascale Supercomputer., и . JSSPP, том 7698 из Lecture Notes in Computer Science, стр. 253-271. Springer, (2012)C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection., , , , , , и . ICCV, стр. 9833-9842. IEEE, (2019)Fast and efficient parallel breadth-first search with power-law graph transformation., , , , и . Frontiers Comput. Sci., (октября 2022)Autotuned parallel I/O for highly scalable biosequence analysis., , , и . TG, стр. 29:1-29:8. ACM, (2011)Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks., , и . CoRR, (2023)Coupling climate and hydrological models: Interoperability through Web Services., , , , , , , и . Environ. Model. Softw., (2013)Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters., , , , , , и . IPDPS, стр. 289. IEEE Computer Society, (2003)A new two-dimensional Fourier transform algorithm based on image sparsity., , и . ICASSP, стр. 1373-1377. IEEE, (2017)Self-adapting numerical software (SANS) effort., , , , , , , , , и 2 other автор(ы). IBM J. Res. Dev., 50 (2-3): 223-238 (2006)