11099
Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini
Hough transform is one of the most widely used algorithms in image processing. The major problems of Hough’s transform are its time consuming and its abundant requirement of computational resources. In this paper, we try to solve this problem by paralleling this algorithm and implementing it on GPUs (Graphic Process unit) using CUDA (Compute Unified […]
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Joseph Issa
The change in processor architectures and 3D benchmarks makes performance characterization important for every processor and 3D application generation. Recent 3D applications require large amount of data to be processed by the GPU and the CPU. This leads to the importance in analyzing processor performance for different architectures and benchmarks so that benchmarks and processors […]
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Saurabh Maniktala, Anisha Goel, A. B. Patki, R. C. Meharde
In the present era Chaos theory has tremendous potential in Computer Science Domain. The true potential of Chaos theory can be realized with the assistance of high performance computing aids such as GPU that have become available in present times. The main purpose is to develop a high performance experimental laboratory in academic institutions, for […]
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Changmin Lee, Won W. Ro, Jean-Luc Gaudiot
This paper presents a cooperative heterogeneous computing framework which enables the efficient utilization of available computing resources of host CPU cores for CUDA kernels, which are designed to run only on GPU. The proposed system exploits at runtime the coarse-grain threadlevel parallelism across CPU and GPU, without any source recompilation. To this end, three features […]
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Francisco Giunta, Raffaele Montella, Giuliano Laccetti, Florin Isaila, Francisco Javier Garcia Blas
Numerical models play a main role in the earth sciences, filling in the gap between experimental and theoretical approach. Nowadays, the computational approach is widely recognized as the complement to the scientific analysis. Meanwhile, the huge amount of observed/modelled data, and the need to store, process, and refine them, often makes the use of high […]
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Chen He
Molecular Dynamics (MD) simulation is a computationally intensive application used in multiple fields. It can exploit a distributed environment due to inherent computational parallelism. However, most of the existing implementations focus on performance enhancement. They may not provide fault-tolerance for every time-step. MapReduce is a framework first proposed by Google for processing huge amounts of […]
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S.J. Pennycook, S.D. Hammond, S.A. Jarvis, G.R. Mudalige
We present the performance analysis of a port of the LU benchmark from the NAS Parallel Benchmark (NPB) suite to NVIDIA’s Compute Unified Device Architecture (CUDA), and report on the optimisation efforts employed to take advantage of this platform. Execution times are reported for several different GPUs, ranging from low-end consumergrade products to high-end HPC-grade […]
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L. Stolz, H. Endt, M. Vaaraniemi, D. Zehe, W. Stechele
With the introduction of API’s like CUDA, Stream+ or OpenCL, modern Graphics Processing Units (GPU’s) can be easily employed for general purpose computing. Plus, their comparatively low price per GFLOP makes them interesting candidates for coprocessors in future embedded Electronic Control Units (ECUs). Yet, as car manufacturers thrive to reduce the Thermal Design Power (TDP) […]
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Specifications GPU G96a/b FLOPS 67.2 GFLOPS Stream Processing Units 16 Core Clock 550 MHz Memory Clock 1400 MHz Effective Memory Clock 2800 MHz Memory Type DDR2/GDDR3 Amount of memory 256/512/1024 MB Memory Bandwidth 12.8/25.6 GB/sec Buswidth 128 bit Tech process 65/55 nm Interface PCIe 2.0 x16, PCI PS/VS version 4.1/4.1 DirectX compliance 10 Retail Cards […]
Gorka Lerchundi Osa
User needs increases as time passes. We started with computers like the size of a room where the perforated plaques did the same function as the current machine code object does and at present we are at a point where the number of processors within our graphic device unit it’s not enough for our requirements. […]
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