article Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis Guido Schryen author 277 department https://ris.uni-paderborn.de/download/50301/50375/ParallelScalabilityAnalysis__Preprint.pdf application/pdfno 2024 eng Journal of Parallel and Distributed Computing Schryen G. Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. <i>Journal of Parallel and Distributed Computing</i>. Published online 2024. @article{Schryen_2024, title={Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis}, journal={Journal of Parallel and Distributed Computing}, author={Schryen, Guido}, year={2024} } Schryen, Guido. “Speedup and Efficiency of Computational Parallelization: A Unifying Approach and Asymptotic Analysis.” <i>Journal of Parallel and Distributed Computing</i>, 2024. Schryen, Guido. “Speedup and Efficiency of Computational Parallelization: A Unifying Approach and Asymptotic Analysis.” <i>Journal of Parallel and Distributed Computing</i>, 2024. G. Schryen, Journal of Parallel and Distributed Computing (2024). Schryen, G. (2024). Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. <i>Journal of Parallel and Distributed Computing</i>. G. Schryen, “Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis,” <i>Journal of Parallel and Distributed Computing</i>, 2024. 503012024-01-09T10:40:44Z2024-01-09T10:40:55Z