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The desktop virtualization environment could propose a solution for the high-definition video processing, which used multi-GPU collaboration and parallel computing. The multi-GPU parallel encoding computing is often implemented by multi-threads mode. Based on the analysis of the GPU multi-level storage structure, and data transmission between CPU and GPU, pinned memory (zero-copy memory) and shared...
In order to study the performance of MIC-GPU-CPU hybrid computing platform, this paper conduct a whole heart simulation model on this platform. And to corroborate the advantages of this heterogeneous architecture environment, we parallelize the electrocardiograms simulation algorithm. Electrocardiograms simulation algorithm is a recommendable case to study the ability of MIC-GPU-CPU architecture for...
Multi-core CPU and GPU technologies upgrades a PC to a personal supercomputer. Many algorithms have been proposed to achieve dynamic scheduling in CPU-GPU hybrid environments. Among them, only pure self-scheduling (PSS) can achieve perfect load balancing in this extremely heterogeneous environment. But PSS can not take full advantage of GPU performance, reduce the overhead of the tail problem, and...
This paper introduces a parallel algorithm using GPU for computer simulation of Electrocardiogram (ECG) based on a 3-dimensional (3D) whole-heart model. The computer heart model includes approximately 50,000 discrete elements (cell models) inside a torso model represented by 344 nodal points with 684 triangular meshes. Since computational burden for computer simulation of ECGs is considerably heavy,...
In recent years, a great number of applications have been implemented on the CMP and achieved good performance. The success of the parallelism of a great deal of applications on CMP shows a bright future of the development of the CMP. However, some other experiments exposed the shortcomings of the CMP which may significantly reduce the performance of the parallel program. In this paper, we devote...
This paper presents a parallel algorithm using GPU for computer simulation of Electrocardiogram (ECG) based on a 3-dimensional (3D) whole-heart model. The computer heart model includes approximately 50,000 discrete elements (model cells) inside a torso model represented by 344 nodal points with 684 triangular meshes. After the excitation propagation is simulated in the heart model, the Poisson question...
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