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  1. 101
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    A multi-level parallel simulation approach to electron transport in nano-scale transistors by Luisier, Mathieu, Klimeck, Gerhard


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  2. 102
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    Tera-Scalable Algorithms for Variable-Density Elliptic Hydrodynamics with Spectral Accuracy by Cook, Andrew W., Cabot, William H., Williams, Peter L., Miller, Brian J., Supinski, Bronis R. de, Yates, Robert K., Welcome, Michael L.


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  3. 103
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    A multiprocessor architecture for the massively parallel model GCA by Heenes, Wolfgang, Hoffmann, Rolf, Jendrsczok, Johannes


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  4. 104
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    Parallel algorithms for power estimation by Kim, Victor, Banerjee, Prithviraj


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  5. 105
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    simulating a PR-mesh on an larpbs by Gopalan, Mathura, Bourgeois, Anu G., Fernández-Zepeda, José Alberto


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  6. 106
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    Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis by Ben-Nun, Tal, Hoefler, Torsten

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  7. 107
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    Calibrating quantum chemistry: A multi-teraflop, parallel-vector, full-configuration interaction program for the Cray-X1 by Gan, Zhengting, Harrison, Robert J.


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  8. 108
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    Parallel implementation and performance characterization of MUSCLE by Deng, Xi, Li, Eric, Shan, Jiulong, Chen, Wenguang


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  9. 109
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    Modeling pulse propagation and scattering in a dispersive medium: performance of MPI/OpenMP hybrid code by Rosenberg, Robert, Norton, Guy, Novarini, Jorge C., Anderson, Wendell, Lanzagorta, Marco


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  10. 110
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    Tree partition based parallel frequent pattern mining on shared memory systems by Chen, Dehao, Lai, Chunrong, Hu, Wei, Chen, WenGuang, Zhang, Yimin, Zheng, Weimin


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  11. 111
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    Montblanc11https://github.com/ska-sa/montblanc.: GPU accelerated radio interferometer measurement equations in support of Bayesian inference for radio observations by Perkins, S.J., Marais, P.C., Zwart, J.T.L., Natarajan, I., Tasse, C., Smirnov, O.



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  12. 112
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    Session details: Acceleration of reconfigurable applications


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  13. 113
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    Data-driven time parallelization by Ji, Lei, Yu, Yanan, Chandra, Namas, Nymeyer, Hugh, Srinivasan, Ashok


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  14. 114
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    Session details: Modeling methodology A: parallel and distributed methods II


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  15. 115
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    Session details: Modeling methodology A: parallel and distributed methods I


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  16. 116
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    Parallel hypergraph partitioning for scientific computing by Devine, Karen D., Boman, Erik G., Heaphy, Robert T., Bisseling, Rob H., Catalyurek, Umit V.


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  17. 117
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    Optimal wire retiming without binary search by Lin, Chuan, Zhou, Hai



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  18. 118
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    Session details: Modeling methodology A: parallel and distributed methods III


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  19. 119
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    A Survey on Deep Learning: Algorithms, Techniques, and Applications by Pouyanfar, Samira, Sadiq, Saad, Yan, Yilin, Tian, Haiman, Tao, Yudong, Reyes, Maria Presa, Shyu, Mei-Ling, Chen, Shu-Ching, Iyengar, S. S.

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  20. 120
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    Session details: Advanced tutorials: verification, validation, and accreditation


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