This article introduces a parallel neural network approach implemented over Graphic Processing Units (GPU) to solve a facial recognition problem, which consists in deciding where the face of a person in a certain image is pointing. The proposed method uses …
November 18, 2012 by hgpu
In this paper we present an implementation of the H.264/AVC Inverse Discrete Cosine Transform (IDCT) optimized for Graphics Processing Units (GPUs) using OpenCL. By exploiting that most of the input data of the IDCT for real videos are zero valued …
September 14, 2012 by hgpu
General purpose programming of Graphics Processing Units (GPUs) is a relatively new technological advancement. GPUs contain vast amounts of computational power with their many core architectures. Within many computer systems the power of these GPUs often goes unused outside the …
August 15, 2012 by hgpu
Graph matching is one of the principal methods to formulate the correspondence between two set of points in computer vision and pattern recognition. Most formulations are based on the minimization of a difficult energy function which is known to be …
August 13, 2012 by hgpu
This paper shows the potential of heterogeneous computing in solving dynamic equilibrium models in economics. We illustrate the power and simplicity of the C++ Accelerated Massive Parallelism recently introduced by Microsoft. Starting from the same exercise as Aldrich et al. …
May 14, 2012 by hgpu
Fast image reconstruction is a critical requirement for an imaging modality to be adopted in the field of clinical and pre-clinical sciences. While programs become faster due to more powerful hardware, at the same time data size increases and the …
April 28, 2012 by hgpu
While Iterative Closest Point (ICP) algorithms have been successful at aligning 3D point clouds, they do not take into account constraints arising from sensor viewpoints. More recent beam-based models take into account sensor noise and viewpoint, but problems still remain. …
February 18, 2012 by hgpu
This article presents the possibility of parallelization of calculating polynomial approximations with large data inputs on GPU using NVIDIA CUDA architecture. Parallel implementation on the GPU is compared to the single thread CPU implementation. Despite the enormous computing power of …
February 12, 2012 by hgpu
Software simulation is the primary tool used for evaluation of processor design. Simulation offers better accuracy than analytical models and is an important evaluation step before actually fabricating a chip. Unfortunately, simulator speeds are slow — a conventional cycle-accurate simulator …
November 27, 2011 by hgpu
With the rapid growth of network technologies, many new web services have been developed to provide various applications and computing functions. These services rely deeply on the internet. Therefore, packet classification is an important issue of network security that typically …
November 21, 2011 by hgpu
The work presented in this paper consists in an adaptation of a Genetic Algorithm (GA) to perform variable selection in an heterogeneous cluster where the nodes are themselves clusters of GPUs. Due to this heterogeneity, several mechanisms to perform a …
November 15, 2011 by hgpu
This paper presents the architecture of an heterogeneous cluster where each node has one or more Graphical Unit Processors (GPUs). The motivation of the work is the fact that this technology presents very impressive results in High Performance Computing at …
November 8, 2011 by hgpu
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