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Disambiguation of "Maruyama, Naoya"

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Model-based resource selection for efficient virtual cluster deployment.

, , and . VTDC@SC, page 6:1-6:7. ACM, (2007)

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Newton Maruyama

Makiko Maruyama

Naoya Koseki

 

Other publications of authors with the same name

Effective Quantization Approaches for Recurrent Neural Networks., , , , and . IJCNN, page 1-8. IEEE, (2018)Data-centric GPU-based adaptive mesh refinement., and . IA3@SC, page 3:1-3:7. ACM, (2015)Scalable Kernel Fusion for Memory-Bound GPU Applications., and . SC, page 191-202. IEEE Computer Society, (2014)Poster: fast GPU read alignment with burrows wheeler transform based index., , and . SC Companion, page 21-22. ACM, (2011)Co-design Center for Exascale Machine Learning Technologies (ExaLearn)., , , , , , , , , and 37 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 598-616 (2021)AIMES: Advanced Computation and I/O Methods for Earth-System Simulations., , , , , , , and . Software for Exascale Computing, volume 136 of Lecture Notes in Computational Science and Engineering, Springer, (2020)Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES., and . CLUSTER, page 1-8. IEEE Computer Society, (2013)From FLOPS to BYTES: disruptive change in high-performance computing towards the post-moore era., , , , , , , , , and 1 other author(s). Conf. Computing Frontiers, page 274-281. ACM, (2016)Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architectures., , , , , , and . IWOMP, volume 9903 of Lecture Notes in Computer Science, page 156-170. (2016)CUDA vs OpenACC: Performance Case Studies with Kernel Benchmarks and a Memory-Bound CFD Application., , , and . CCGRID, page 136-143. IEEE Computer Society, (2013)