8196
Artur Podobas, Mats Brorsson, Vladimir Vlassov
Computer architecture technology is moving towards more heterogeneous solutions, which will contain a number of processing units with different capabilities that may increase the performance of the system as a whole. However, with increased performance comes increased complexity; complexity that is now barely handled in homogeneous multiprocessing systems. The present study tries to solve a […]
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He Jin, Fang Zhiyi, Ji Liang, Cai Ruicheng, Chen Lin
By further study of GPU architecture and GPU stream programming model. In this paper, uniform grid acceleration structure implements on the GPU stream programming model of the ray tracing. It has a lot of ray intersection calculations in the whole rendering process, reducing the efficiency of the whole scene rendering. Rendering without compromising the quality […]
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Takahide Hosokawa, Songkran Jarusirisawad, Hideo Saito
We present an online rendering system which removes occluding objects in front of the objective scene from an input video using multiple videos taken with multiple cameras. To obtain geometrical relations between all cameras, we use projective grid space (PGS) defined by epipolar geometry between two basis cameras. Then we apply plane-sweep algorithm for generating […]
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Reza Farivar, Abhishek Verma, Ellick M. Chan, Roy H. Campbell
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and fault-tolerant parallel programming and execution paradigm. In this paper, we show that the popular MapReduce programming model can be utilized to solve many interesting scientific simulation problems with much higher performance than regular cluster computers by leveraging GPGPU accelerators […]
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Sundaresan Venkatasubramanian
We describe heterogeneous multi-CPU and multi-GPU implementations of Jacobi’s iterative method for the 2-D Poisson equation on a structured grid, in both single- and double-precision. Properly tuned, our best implementation achieves 98% of the empirical streaming GPU bandwidth (66% of peak) on a NVIDIA C1060. Motivated to find a still faster implementation, we further consider […]
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Sundaresan Venkatasubramanian, Richard W. Vuduc, None None
We describe heterogeneous multi-CPU and multi-GPU implementations of Jacobi’s iterative method for the 2-D Poisson equation on a structured grid, in both single- and double-precision. Properly tuned, our best implementation achieves 98% of the empirical streaming GPU bandwidth (66% of peak) on a NVIDIA C1060, and 78% on a C870. Motivated to find a still […]
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