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Based on two-way wave equation, prestack reverse time migration (RTM) overcomes dip limitation, and can image complicated geological body with high precision. However, since the massy storage, large amount of computation, low frequency noise, the industrialization process of this approach develops slowly. High order finite difference algorithm is used to calculate reverse time migration in the paper...
Multiples prediction and adaptive subtraction are two important aspects for surface-related multiples suppression method based on wave-equation. In this paper, only the prediction part is discussed. GPU (graphic processing unit) with parallel computation advantage is exploited to accelerate surface-related multiples prediction, which improved calculation efficiency greatly. So the prediction of surface-related...
With the development of the embedded application demand, embedded real-time operating system (RTOS) for its outstanding performance in real-time, stability, reliability, and are widely used in the field of high-tech, such as communications, military measurement and control, medical equipment, etc. At the same time, the requirements are also increasing in various fields for the graphical interface...
This article describes a new image decomposition strategy to use the GPU memory hierarchy architecture more efficiently. An image is decomposed into tiles and the size of each tile is determined based on the size of thread block. In order to avoid loading repeatedly tiles from global memory to shared memory, tiles must overlap each other. The parallel code is specifically tested with dilation operation,...
The k nearest neighbor (kNN) computing is an important task in different fields such as LBSN and database area. Recently some methods have been proposed to accelerate kNN searching algorithms for static points with GPUs. To evaluate massive concurrent queries towards mobile objects in spatial networks, we present a multi-staged framework MSF to improve the parallelism with multi-threaded technology,...
According to the matrix computation of the traditional NDVI algorithm calculate slowly on CPU, the paper puts forward a new type of NDVI algorithm based on GPU. And we use the CUDA programming language to realize it based on NVIDIA GPU. Experimental results show that the new type of NDVI algorithm significantly improved the execution speed of the algorithm. Compared with the serial CPU program, the...
General Purpose computing on Graphic Processing Unit (GPGPU) is rapidly gaining adoption in scientific and engineering applications. Considerable research efforts have been dedicated to improving the efficiency of GPU microarchitecture. It is thus essential to understand the execution characteristics of GPUs so as to identify clues for microarchitecture innovations. In this work, we performed detailed...
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