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Testing as a service over cloud

Testing as a service over cloud

引用

5th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2010

作者： Yu, Lian Tsai, Wei-Tek Chen, Xiangji Liu, Linqing Zhao, Yan Tang, Liangjie Zhao, Wei School of Software and Microelectronics Peking University China School of Computing Informatics Decision Systems Engineering Department of Computer Science and Engineering Arizona State University United States Deparment of Computer Science and Technology Tsinghua University Beijing China China Research Center IBM Beijing 100094 China

ISBN: (纸本)9780769540818

Testing-as-a-service (TaaS) is a new model to provide testing capabilities to end users. Users save the cost of complicated maintenance and upgrade effort, and service providers can upgrade their services without impact on the end-users. Due to uneven volumes of concurrent requests, it is important to address the elasticity of TaaS platform in a cloud environment. Scheduling and dispatching algorithms are developed to improve the utilization of computing resources. We develop a prototype of TaaS over cloud, and evaluate the scalability of the platform by increasing the test task load;analyze the distribution of computing time on test task scheduling and test task processing over the cloud;and examine the performance of proposed algorithms by comparing others. © 2010 IEEE.

关键词： Scheduling

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引用

IEEE Symposium on Nuclear science (NSS/MIC)

作者： Wei Xu Klaus Mueller Center of Visual Computing Computer Science Department Stony Brook University NY USA

Iterative CT algorithms are becoming increasingly popular in recent years, and have been found useful when the projections are limited in number, irregularly spaced, or noisy, which are imaging scenarios often encountered in low-dose imaging and compressed sensing. One way to cope with the associated streak and noise artifacts in these settings is either to incorporate or to interleave a regularization objective into the iterative reconstruction framework. In this paper we explore possible techniques for the latter. We investigate a number of non-linear filters popular in the image processing literature for their suitability in iterative CT application, here OS-SIRT.

关键词： Filtering algorithms Pixel Image reconstruction Smoothing methods Computed tomography Graphics processing unit Iterative methods

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Cache-aware GPU memory scheduling scheme for CT back-projection

Cache-aware GPU memory scheduling scheme for CT back-project...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Ziyi Zheng Klaus Mueller Center of Visual Computing Computer Science Department Stony Brook University Stony Brook NY USA

Graphic process units (GPUs) are well suited to computing-intensive tasks and are among the fastest solutions to perform Computed Tomography (CT) reconstruction. As previous research shows, the bottleneck of GPU-implementation is not the computational power, but the memory bandwidth. We propose a cache-aware memory-scheduling scheme for the back-projection, which can ensure a better load-balancing between GPU processors and the GPU memory. The proposed reshuffling method can be directly applied on existing GPU-accelerated CT reconstruction pipelines. The experimental results show that our optimization can achieve speedup ranging from 1.18-1.48. Our cache-optimization method is particular effective for low-resolution volumes with high resolution projections.

关键词： Graphics processing unit Computed tomography Three dimensional displays Instruction sets Memory management Writing

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Two examples of GPGPU acceleration of memory-intensive algorithms

Two examples of GPGPU acceleration of memory-intensive algor...

引用

8th Eurographics Italian Chapter Conference 2010

作者： Marras, Stefano Mura, Claudio Gobbetti, Enrico Scateni, Riccardo Scopigno, Roberto University of Cagliari Dept. of Mathematics and Computer Science Italy Sardegna Ricerche DistrICT Lab. Italy CRS4 - Center for Advanced Studies Research and Development Sardinia Italy ISTI-CNR Visual Computing Lab. Italy

ISBN: (纸本)9783905673807

The advent of GPGPU technologies has allowed for sensible speed-ups in many high-dimension, memory-intensive computational problems. In this paper we demonstrate the effectiveness of such techniques by describing two applications of GPGPU computing to two different subfields of computer graphics, namely computer vision and mesh processing. In the first case, CUDA technology is employed to accelerate the computation of approximation of motion between two images, known also as optical flow. As for mesh processing, we exploit the massively-parallel architecture of CUDA devices to accelerate the face clustering procedure that is employed in many recent mesh segmentation algorithms. In both cases, the results obtained so far are presented and thoroughly discussed, along with the expected future development of the work. © The Eurographics Association 2010.

关键词： Parallel architectures

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Efficiently GPU-accelerating long kernel convolutions in 3-D DIRECT TOF PET reconstruction via a kernel decomposition scheme

Efficiently GPU-accelerating long kernel convolutions in 3-D...

引用

IEEE Symposium on Nuclear science (NSS/MIC)

作者： Sungsoo Ha Zhiyuan Zhang Klaus Mueller Samuel Matej Center of Visual Computing Computer Science Department Stony Brook University NY USA Department of Radiology University of Pennsylvania Philadelphia PA USA

The DIRECT approach for 3-D Time-of-Flight (TOF) PET reconstruction performs all iterative predictor-corrector operations directly in image space. A computational bottleneck here is the convolution with the long TOF (resolution) kernels. Accelerating this convolution operation using GPUs is very important especially for spatially variant resolution kernels, which cannot be efficiently implemented in the Fourier domain. The main challenge here is the memory cache performance at non-axis aligned directions. We devised a scheme that first re-samples the image into an axis-aligned orientation offering good memory coherence for the convolution operations. In order to maintain good accuracy, we carefully design the resampling and new convolution kernels to combine into the original TOF kernel. This paper demonstrates the validity, accuracy, and high speed-performance of our scheme for a comprehensive set of orientation angles. Future work will apply these cascaded kernels within a GPU-accelerated version of DIRECT.

关键词： Kernel Image reconstruction Graphics processing unit Acceleration Strontium Positron emission tomography Filtering theory

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Constructing 3D elliptical gaussians for irregular data

Constructing 3D elliptical gaussians for irregular data

引用

Workshop on Mathematical Foundations of Scientific visualization, computer Graphics, and Massive Data Exploration, 2004

作者： Hong, Wei Neophytou, Neophytos Mueller, Klaus Kaufman, Arie Center for Visual Computing Department of Computer Science Stony Brook University United States

ISBN: (纸本)9783642543005

Volumetric datasets obtained from scientific simulation and partial differential equation solvers are typically given in the form of non-rectilinear grids. The splatting technique is a popular direct volume rendering algorithm, which can provide high quality rendering results, but has been mainly described for rectilinear grids. In splatting, each voxel is represented by a 3D kernel weighted by the discrete voxel value. While the 3D reconstruction kernels for rectilinear grids can be easily constructed based on the distance among the aligned voxels, for irregular grids the kernel construction is significantly more complicated. In this paper, we propose a novel method based on a 3D Delaunay triangulation to create 3D elliptical Gaussian kernels, which then can be used by a splatting algorithm for the rendering of irregular grids. Our method does not require a resampling of the irregular grid. Instead, we use a weighted least squares method to fit a 3D elliptical Gaussian centered at each grid point, approximating its Voronoi cell. The resulting 3D elliptical Gaussians are represented using a convenient matrix representation, which allows them to be seamlessly incorporated into our elliptical splatting rendering system. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Least squares approximations

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Accelerating regularized iterative ct reconstruction on commodity graphics hardware (GPU)

Accelerating regularized iterative ct reconstruction on comm...

引用

IEEE International Symposium on Biomedical Imaging

作者： Wei Xu Klaus Mueller Center of Visual Computing Computer Science Department Stony Brook University USA

ISBN: (纸本)9781424439317

Iterative reconstruction algorithms augmented with regularization can produce high-quality reconstructions from few views and even in the presence of significant noise. In this paper we focus on the particularities associated with the GPU acceleration of these. First, we introduce the idea of using exhaustive benchmark tests to determine the optimal settings of various parameters in iterative algorithm, here OS-SIRT, which proofs decisive for obtaining optimal GPU performance. Then we introduce bilateral filtering as a viable and cost-effective means for regularization, and we show that GPU-acceleration reduces its overhead to very moderate levels.

关键词： Acceleration Hardware Computed tomography Image reconstruction Reconstruction algorithms Iterative algorithms Filters computer graphics computer science Benchmark testing

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Optimal sampling lattices for high-fidelity CT reconstruction

Optimal sampling lattices for high-fidelity CT reconstructio...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Klaus Mueller Fang Xu Center for Visual Computing Computer Science Department Stony Brook University NY USA

We show that the familiar Cartesian lattice, while convenient for signal processing and representation, is suboptimal when it comes to signal fidelity. We explore various applications of optimal sampling lattices, such as the Hexagonal and Body centered Cartesian (BCC) lattices for 3D Computed Tomographic (CT) Reconstruction, both in terms of the (2D) detector and the (3D) reconstructed object. We find that BCC lattices compare favorably with CC lattices for both CT data acquisition and reconstruction. For example they increase the recovery and detectability of small features, such as small tumors in the brain.

关键词： Sampling methods Lattices Computed tomography Signal sampling Signal processing Object detection Detectors Data acquisition computer vision Neoplasms

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Harmonic colormaps for volume visualization

Harmonic colormaps for volume visualization

引用

Joint IEEE/EG 7th International Symposium on Volume Graphics, VG 2008 and 5th Symposium on Point-Based Graphics, PBG 2008

作者： Wang, Lujin Mueller, Klaus Center for Visual Computing and Computer Science Stony Brook University New York United States

ISBN: (纸本)9783905674125

Color design forms a crucial part in visual aesthetics, and it has been shown that a visually aesthetic visualization will be looked at more carefully. An important role plays here the choice of a colormap that is composed of harmonic colors. This paper presents an interface that allows users to choose harmonic colors in volume visualization applications. In addition, it describes mechanisms by which non-harmonic colormaps can be converted to harmonic ones, but keeping lightness constant to preserve the original contrast relationships. Finally, we also show how harmonic colors can be used for the highlighting of important volume features. © The Eurographics Association 2008.

关键词： Color

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Applications of Optimal Sampling Lattices for Volume Acquisition via 3D Computed Tomography 6

Applications of Optimal Sampling Lattices for Volume Acquisi...

引用

6th Eurographics / IEEE VGTC International Symposium on Volume Graphics, VG@Eurographics 2007

作者： Xu, Fang Mueller, Klaus Center of Visual Computing Computer Science Stony Brook University United States

ISBN: (纸本)9783905674033

There has been mounting evidence that the familiar Cartesian lattices, while convenient for signal processing and representation, are sub-optimal when it comes to signal fidelity. More suitable in this respect are optimal sampling lattices, such as the Hexagonal and Body centered Cartesian (BCC) lattice, and recent work has employed these in the areas of volume rendering and image processing. In this paper we explore various applications of these lattices within the context of 3D Computed Tomographic Reconstruction, both in terms of the (2D) detector and the (3D) reconstructed object, and a theoretical analysis is provided. We combine this analysis with a practical application, that is, the use of these lattices within a real-time GPU-accelerated 3D reconstruction platform, in which performance is also of an immediate concern. © The Eurographics Association 2007.

关键词： Volume rendering

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