Multiple integral computing method based on many-core processor
A technology of many-core processors and multiple integrations, which is applied in complex mathematical operations and other directions to shorten scientific computing time, facilitate scientific research and technical personnel, and accelerate computing speed.
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[0018] The method of the present invention is described in detail below with reference to the accompanying drawings.
[0019] In order to make the objectives, technical solutions and advantages of the present invention clear and clear, we describe the key steps in the present invention in detail in conjunction with the accompanying drawings.
[0020] as attached figure 1 As shown, the corresponding relationship between the problem space involved in the present invention and the calculation thread in the GPU is given. Generally speaking, using the Monte Carlo method needs to sample enough target points to make the calculated results meet a certain accuracy, so the number of target points that need to be generated and the value of the integrand that needs to be calculated is huge. Since there is no data correlation among the independent integrand values, we call the space formed by these independent function values the problem space.
[0021] According to the current CUDA a...
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