Abdul Hafeez
Detection and identification of important biological targets, such as DNA, proteins, and diseased human cells are crucial for early diagnosis and prognosis. The key to discriminate healthy cells from the diseased cells is the biophysical properties that differ radically. Micro and nanosystems, such as solid-state micropores and nanopores can measure and translate these properties of […]
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Pablo de Oliveira Castro, Stephane Louise, Denis Barthou
Stream languages explicitly describe fork-join and pipeline parallelism, offering a powerful programming model for general multicore systems. This parallelism description can be exploited on hybrid architectures, eg. composed of Graphics Processing Units (GPUs) and general purpose multicore processors. In this paper, we present a novel approach to optimize stream programs for hybrid architectures composed of […]
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Alina Sbirlea
This thesis describes and evaluates how extending Intel’s Concurrent Collections (CnC) programming model can address the problem of hybrid programming with high performance and low energy consumption, while retaining the ease of use of data-flow programming. The CnC model is a declarative, dynamic light-weight task based parallel programming model and is implicitly deterministic by enforcing […]
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Adam Dabrowski, Pawel Pawlowski, Mateusz Stankiewicz, Filip Misiorek
An idea of the so-called quasi-maximum accuracy computations for improvement of precision of the floating-point digital signal processing with graphic processing units (GPUs) is presented in this paper. In the presented approach, the increase of the precision of computations does not need any increase of the length of the data words. Special attention has been […]
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Matthew D. Sinclair
As graphics processing unit (GPU) architects have made their pipelines more programmable in recent years, GPUs have become increasingly general-purpose. As a result, more and more general-purpose, non-graphics applications are being ported to GPUs. Past work has focused on applications that map well to the data parallel GPU programming model. These applications are usually embarrassingly […]
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Adam Dabrowski, Pawel Pawlowski, Mateusz Stankiewicz, Filip Misiorek
An idea of the use of two accumulators for improvement of the precision of floating-point computations with graphic processing units (GPUs) is presented in this paper for applications in digital signal processing. The increase of the precision of computations does not need any increase of the length of the data words. This is particularly important […]
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Kailash Devrari, K.Vinay Kumar
Fast face detection is one of the key components of various computer vision applications. Viola-Jones algorithm provides a good and fast detection for low and medium resolution images. This paper proposes a new and fast approach to perform real time face detection. The proposed method includes the enhanced Haar-like features and uses SVM for training […]
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Song Peng
In the past decade liquid crystal displays (LCD) have taken over the television (TV) and monitor market from cathode ray tube (CRT) display. Compared to CRT displays, LCD offers larger screen sizes, higher resolution, thinner, lighter, and more energy efficient. However, with respect to image quality, LCD does not catch up to CRT display in […]
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Bradley Greig, James S. Bolton, J. Stuart B. Wyithe
High redshift measurements of the baryonic acoustic oscillation scale (BAO) from large Ly-alpha forest surveys represent the next frontier of dark energy studies. As part of this effort, efficient simulations of the BAO signature from the Ly-alpha forest will be required. We construct a model for producing fast, large volume simulations of the Ly-alpha forest […]
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Joshua C. Bowden
An implementation of the nonlinear iterative partial least squares algorithm (NIPALS) was used as a test case for use of OpenCL for computation on a general purpose graphics processing unit (GPGPU) cluster using MPI. Timing results are shown along with results of a model of time required per iteration for defined problem sizes. Various steps […]
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