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OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms.

Z. Meng, A. Koniges, Y. He, S. Williams, T. Kurth, B. Cook, J. Deslippe, and A. Bertozzi. IWOMP, volume 9903 of Lecture Notes in Computer Science, page 17-31. (2016)

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Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture.J. Deslippe, B. Austin, C. Daley, and W. Yang. Computing in Science and Engineering, 17 (3): 30-42 (2015)Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor.T. Malas, T. Kurth, and J. Deslippe. ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 378-389. (2016)Optimizing Excited-State Electronic-Structure Codes for Intel Knights Landing: A Case Study on the BerkeleyGW Software.J. Deslippe, F. da Jornada, D. Vigil-Fowler, T. Barnes, N. Wichmann, K. Raman, R. Sasanka, and S. Louie. ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 402-414. (2016)Evaluating and Optimizing the NERSC Workload on Knights Landing.T. Barnes, B. Cook, J. Deslippe, D. Doerfler, B. Friesen, Y. He, T. Kurth, T. Koskela, M. Lobet, T. Malas and 12 other author(s). PMBS@SC, page 43-53. IEEE Computer Society, (2016)Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores.Y. He, B. Cook, J. Deslippe, B. Friesen, R. Gerber, R. Hartman-Baker, A. Koniges, T. Kurth, S. Leak, W. Yang and 3 other author(s). Concurrency and Computation: Practice and Experience, (2018)Numerical integration for ab initio many-electron self energy calculations within the GW approximation.F. Liu, L. Lin, D. Vigil-Fowler, J. Lischner, A. Kemper, S. Sharifzadeh, F. da Jornada, J. Deslippe, C. Yang, J. Neaton and 1 other author(s). J. Comput. Physics, (2015)Exascale deep learning for climate analytics.T. Kurth, S. Treichler, J. Romero, M. Mudigonda, N. Luehr, E. Phillips, A. Mahesh, M. Matheson, J. Deslippe, M. Fatica and 2 other author(s). SC, page 51:1-51:12. IEEE / ACM, (2018)Analyzing Performance of Selected NESAP Applications on the Cori HPC System.T. Kurth, W. Arndt, T. Barnes, B. Cook, J. Deslippe, D. Doerfler, B. Friesen, Y. He, T. Koskela, M. Lobet and 6 other author(s). ISC Workshops, volume 10524 of Lecture Notes in Computer Science, page 334-347. Springer, (2017)A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy.Y. Zhang, S. Farrell, M. Crowley, L. Makowski, and J. Deslippe. CoRR, (2019)BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures.J. Deslippe, G. Samsonidze, D. Strubbe, M. Jain, M. Cohen, and S. Louie. Comput. Phys. Commun., 183 (6): 1269-1289 (2012)

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OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms.

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OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms.