Analyzing the I/O Scalability of a Parallel Particle-in-Cell Code
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-02465-9_1
Reference8 articles.
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2. Kilian, P., Burkart, T., Spanier, F.: The influence of the mass ratio on particle acceleration by the filamentation instability. In: Nagel, W.E., Kröner, D.B., Resch, M.M. (eds.) High Performance Computing in Science and Engineering 2011, pp. 5–13. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-23869-7_1
3. Byna, S., et al.: Parallel I/O, analysis, and visualization of a trillion particle simulation. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis SC 2012, vol. 59, pp. 1–12. IEEE Computer Society Press, Los Alamitos (2012)
4. Thakur, R., Gropp, W., Lusk, E.: Data sieving and collective I/O in ROMIO. In: Proceedings of the 7th Symposium on the Frontiers of Massively Parallel Computation FRONTIERS 1999, pp. 182–189. IEEE Computer Society, Washington (1999)
5. Tessier, F., Malakar, P., Vishwanath, V., Jeannot, E., Isaila, F.: Topology-aware data aggregation for intensive I/O on large-scale supercomputers. In: Proceedings of the First Workshop on Optimization of Communication in HPC COM-HPC 2016, pp. 73–81. IEEE Press, Piscataway (2016)
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