A C++ Library for Memory Layout and Performance Portability of Scientific Applications
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31209-0_8
Reference9 articles.
1. Beckingsale, D.A., et al.: RAJA: portable performance for large-scale scientific applications. In: 2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC), pp. 71–81 (2019). https://doi.org/10.1109/P3HPC49587.2019.00012
2. Gruber, B.M., Amadio, G., Blomer, J., Matthes, A., Widera, R., Bussmann, M.: LLAMA: the low-level abstraction for memory access. In: Software: Practice and Experience, pp. 1–27 (2022). https://doi.org/10.1002/spe.3077
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4. Incardona, P., Leo, A., Zaluzhnyi, Y., Ramaswamy, R., Sbalzarini, I.F.: OpenFPM: a scalable open framework for particle and particle-mesh codes on parallel computers. Comput. Phys. Commun. 241, 155–177 (2019). https://doi.org/10.1016/j.cpc.2019.03.007
5. Lecture Notes in Computer Science;A Poenaru,2021
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