1,131 research outputs found

    Stanley J. Jaros Vietnam War collection [DIGITAL CONTENT]

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    This collection records the service of Stanley J. Jaros in the Vietnam War

    Alien Registration- Jaros, Charles J. (Rumford, Oxford County)

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    https://digitalmaine.com/alien_docs/12372/thumbnail.jp

    Bulman_and_Jaros_online_appendix – Supplemental material for Loyalists, Localists, and Legibility: The Calibrated Control of Provincial Leadership Teams in China

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    Supplemental material, Bulman_and_Jaros_online_appendix for Loyalists, Localists, and Legibility: The Calibrated Control of Provincial Leadership Teams in China by David J. Bulman and Kyle A. Jaros in Politics & Society</p

    Estimation of Execution Parameters for k-Wave Simulations

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    Estimation of execution parameters takes centre stage in automatic offloading of complex biomedical workflows to cloud and high performance facilities. Since ordinary users have no or very limited knowledge of the performance characteristics of particular tasks in the workflow, the scheduling system has to have the capabilities to select appropriate amount of compute resources, e.g., compute nodes, GPUs, or processor cores and estimate the execution time and cost. The presented approach considers a fixed set of executables that can be used to create custom workflows, and collects performance data of successfully computed tasks. Since the workflows may differ in the structure and size of the input data, the execution parameters can only be obtained by searching the performance database and interpolating between similar tasks. This paper shows it is possible to predict the execution time and cost with a high confidence. If the task parameters are found in the performance database, the mean interpolation error stays below 2.29%. If only similar tasks are found, the mean interpolation error may grow up to 15%. Nevertheless, this is still an acceptable error since the cluster performance may vary on order of percent as well

    Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators

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    The rapid development of novel procedures in medical ultrasonics, including treatment planning in therapeutic ultrasound and image reconstruction in photoacoustic tomography, leads to increasing demand for large-scale ultrasound simulations. However, routine execution of such simulations using traditional methods, e.g., finite difference time domain, is expensive and often considered intractable due to the computational and memory requirements. The k-space corrected pseudospectral time domain method used by the k-Wave toolbox allows for significant reductions in spatial and temporal grid resolution. These improvements are achieved at the cost of all-to-all communication, which are inherent to the multi-dimensional fast Fourier transforms. To improve data locality, reduce communication and allow efficient use of accelerators, we recently implemented a domain decomposition technique based on a local Fourier basis. In this paper, we investigate whether it is feasible to run the distributed k-Wave implementation on the Salomon cluster equipped with 864 Intel Xeon Phi (Knight’s Corner) accelerators. The results show the immaturity of the KNC platform with issues ranging from limited support of Infiniband and LustreFS in Intel MPI on this platform to poor performance of 3D FFTs achieved by Intel MKL on the KNC architecture. Yet, we show that it is possible to achieve strong and weak scaling comparable to CPU-only platforms albeit with the runtime 1.8× to 4.3× longer. However, the accounting policy for Salomon’s accelerators is far more favorable and thus their employment reduces the computational cost significantly

    Czynniki ryzyka i czynniki chroniące związane z zachowaniami problemowymi – przegląd badań przeprowadzonych w Polsce

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    Publikacja wydana w ramach projektu „Terapia przez rozwój”. Program rozwoju sieci placówek dla młodzieży zagrożonej przedwczesnym wypadnięciem z systemu oświaty. Projekt współfinansowany ze środków Unii Europejskiej w ramach Europejskiego Funduszu Społeczneg
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