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The effectiveness of the proposed tuning method is tested through simulated implementation on three non-linear process examples.
The AFM was validated prospectively through its implementation on three building projects that were in different phases (foundations, core and shell, and finishing), geographic locations (Bogota, Copenhagen, and Lima), and used different planning and control methods (master schedule and weekly planning, Last Planner System, and Location-based Management System).
We tested the implementation on three different N-body codes: two direct N-body integration codes, using the 4th order predictor corrector Hermite integrator with block time-steps, and one Barnes-Hut treecode, which uses a 2nd order leapfrog integration scheme.
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A sustainability model that was proposed at one of the early national GK 12 meetings to fund graduate fellows with topping-up awards or supplemental stipends has been implemented or is planned for implementation on eight campuses.
We evaluated our implementation on ten clinical data sets and one phantom data set to observe if differences occur between CPU and GPU-based reconstructions.
In this context, we made an implementation on four Islamic Banks in Turkey.
In situ experimental results from implementation on four large cooling systems of different designs, sizes and requirements are considered to investigate the potential for such energy management tools.
In this paper we developed performance models for these explicit group methods and present detailed study of their hypothetical implementation on two distributed memory multicomputers with different computation speed and communication bandwidth.
Simulation results in the infrared scenario and the radar scenario are demonstrated to compare the implementation on two types of the GPU card with the CPU-only implementation.
More specifically, they examine the performance for a FPGA implementation on two different FPGAs, a software/hardware solution on a FPGA with a soft core processor (embedded system), a GPGPU implementation, and a MATLAB implementation.
More specifically, we examine the performance for a field-programmable gate array (FPGA) implementation on two different FPGAs, a software/hardware solution on a FPGA with a soft core processor, a general purpose graphics processing unit (GPGPU) implementation, and a MATLAB implementation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com