Wideband channelization is a compute-intensive task with performance requirements that are arguably greater than what current multi-core CPUs can provide. To date, researchers have used dedicated hardware such as field programmable gate arrays (FPGAs) to address the performancecritical aspects of …
June 6, 2013 by hgpu
Clusters of heterogeneous nodes composed of multi-core CPUs and GPUs are increasingly being used for High Performance Computing (HPC) due to the benefits in peak performance and energy efficiency. In order to fully harvest the computational capabilities of such architectures, …
May 9, 2013 by hgpu
Multimedia applications are present in most mobile hand-held devices. The H.264 standard is currently dominating the video compression world. H.264 has high computational complexity requiring large amount of processing resources. Many techniques emerged that optimize H.264 using parallelization on multicore …
April 27, 2013 by hgpu
Over the past decade, computing architectures have continued to exploit multiple levels of parallelism in applications. This increased interest in parallel computing has not only fueled the growth of multi-core processors but has also lead to an emergence of several …
April 22, 2013 by hgpu
Unleashing the full potential of heterogeneous systems, consisting of multi-core CPUs and GPUs, is a challenging task due to the difference in processing capabilities, memory availability, and communication latencies of different computational resources. In this paper we propose a novel …
April 21, 2013 by hgpu
Heterogeneous computing has become prevalent due to the comput-ing power and low cost of Graphics Processing Units(GPUs). OpenCL provides a programming model where the CPU is the master or host, and compute-intensive portions of an algorithm are offloaded to the …
April 17, 2013 by hgpu
We explore efficient parallel radix sort for the AMD Fusion Accelerated Processing Unit (APU). Two challenges arise: efficiently partitioning data between the CPU and GPU and the allocation of data in memory regions. Our coarse-grained implementation utilizes both the GPU …
March 26, 2013 by hgpu
Gaussian mixture models (GMMs) are often used in various data processing and classification tasks to model a continuous probability density in a multi-dimensional space. In cases, where the dimension of the feature space is relatively high (e.g. in the automatic …
March 2, 2013 by hgpu
MOTIVATION: Many algorithms used in analysis of high dimensional data require significant processing time due to the sheer number of values compared. We describe the results of the parallelization of two algorithms central to the functionality of the network analysis …
February 5, 2013 by hgpu
Searching similarities between sequences is a fundamental operation in bioinformatics, providing insight in biological functions as well as tools for high-throughput data. There is a need to have algorithms able to process efficiently billions of sequences. To look for approximate …
December 25, 2012 by hgpu
Porting a computationally demanding CUDA application to a GPU designed for mobile phones and tablets, which supports OpenCL, is the subject of this thesis. Significant effort is made to prepare the snow simulator of the HPC-LAB at IDI, NTNU, for …
November 24, 2012 by hgpu
OpenCL platform provides unified development environment for various multicore processors. In this paper, we evaluate the OpenCL framework for application in pattern recognition. We have selected the most common algorithm for Artificial Neural Networks (ANN) training – the backpropagation algorithm …
November 21, 2012 by hgpu
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