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Full-Text Articles in Physical Sciences and Mathematics
Acceleration Of Agent-Based Pandemicmodeling On Multiple Gpus, Barzan Shekh
Acceleration Of Agent-Based Pandemicmodeling On Multiple Gpus, Barzan Shekh
Masters Theses
Epidemiology computation models are crucial for the assessment and control of public health crises. Agent-based simulations of pandemic inuenza are useful for forecasting the infectious disease spreading in order to help public health policy makers during emergencies. In such emergencies decisions are required for public health preparedness in cycles of less than a day, and the agent-based model should be adaptable and tractable for quick and simple calibration with low computational overhead.
GPU accelerated computing involves the use of a graphics processing unit (GPU) in combination with the CPU to perform heterogeneous computing by o_oading a compute-expensive portion of the …
Monte Carlo Simulations On Xeon Phi: Offload And Native Mode, Bryar Shareef
Monte Carlo Simulations On Xeon Phi: Offload And Native Mode, Bryar Shareef
Masters Theses
In high performance computing, Monte Carlo methods are widely used to solve problems in various areas of computational physics, finance, mathematics, electrical engineering and many other fields. We have designed Monte Carlo methods to compute Feynman loop integrals in high energy physics, and to solve problems in stochastic geometry with applications to computer graphics, such as the tetrahedron picking problem leading to 12 dimensional integrals.
The Intel Xeon Phi is a coprocessor based on a Many Integrated Core (MIC) architecture to gain extreme performance. We have used two different modes, "offload" and "native", to implement the simulations. In offload mode, …