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Deep learning at 15PF: supervised and semi-supervised classification for scientific data.

, , , , , , , , , , , , , , и . SC, стр. 7:1-7:11. ACM, (2017)

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Andrej Malaschkin

Jürgen Malaszkiewicz

Irene Malassa

Tiziana Malascalza-Kinzel

Anas Malas

 

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Optimizing the performance of streaming numerical kernels on the IBM Blue Gene/P PowerPC 450 processor., , , , и . Int. J. High Perform. Comput. Appl., 27 (2): 193-209 (2013)Optimizing the Performance of Streaming Numerical Kernels on the IBM Blue Gene/P PowerPC 450 Processor, , , , и . CoRR, (2012)Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor., , и . ISC Workshops, том 9945 из Lecture Notes in Computer Science, стр. 378-389. (2016)Optimization of an electromagnetics code with multicore wavefront diamond blocking and multi-dimensional intra-tile parallelization., , , , , и . CoRR, (2015)Multicore-Optimized Wavefront Diamond Blocking for Optimizing Stencil Updates., , , , , и . SIAM J. Sci. Comput., (2015)Multi-dimensional intra-tile parallelization for memory-starved stencil computations., , , и . CoRR, (2015)Tiling and Asynchronous Communication Optimizations for Stencil Computations.. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2015)base-search.net (ftkingabdullahun:oai:repository.kaust.edu.sa:10754/583807).Towards energy efficiency and maximum computational intensity for stencil algorithms using wavefront diamond temporal blocking., , , и . CoRR, (2014)Multicore-optimized wavefront diamond blocking for optimizing stencil updates., , , , , и . CoRR, (2014)Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor., , , , , , , , , и . ISC Workshops, том 9945 из Lecture Notes in Computer Science, стр. 339-353. (2016)