Throughout this paper a catenation between the universal paradigm of cellular nonlinear networks (CNN) and the innovative approach of grid computing is given. CNN are a massive parallel solution for solving non-linear...
详细信息
Throughout this paper a catenation between the universal paradigm of cellular nonlinear networks (CNN) and the innovative approach of grid computing is given. CNN are a massive parallel solution for solving non-linear problems, modelling complex phenomena in medicine, physics and data analysis as well as for powerful imageprocessing and recognition systems. They usually are simulated on local computer systems or built as dedicated VLSI-implementations. However, the research of complex CNN structures and settings require massive computing power and thus can benefit from multi-system open architectures which can be provided by the grid approach. Propositions of two different realizations with grid architecture in mind are given by introducing an algorithm of implementing such methods in a CNN software simulator. First a brief introduction to CNN is given. Afterwards, problems for the current determination of such networks are discussed
Hybrid chips containing both CPU's and FPGA components promise the potential of providing a unified platform for seamless implementation of hardware and software co-designed components. Realizing the potential of ...
详细信息
Hybrid chips containing both CPU's and FPGA components promise the potential of providing a unified platform for seamless implementation of hardware and software co-designed components. Realizing the potential of these new hybrid chips requires new high level programming model capabilities that support a far more integrated view of the CPU and FPGA components than is achievable with current methods. The KU hybrid threads project has been investigating extending the familiar multithreaded programming model across this CPU/FPGA boundary to support both FPGA based hardware and CPU based software threads. Adopting this generalized multithreaded model can lead to programming productivity improvement, while at the same time providing the benefit of customized hardware from within a familiar software programming model. In this paper we present an application study of our hybrid multithreaded model. We have implemented several image-processing functions in both hardware and software, but from within the common multithreaded programming model on a XILINX V2P7 FPGA. This example demonstrates hardware and software threads executing concurrently using standard multithreaded synchronization primitives transforming real-time images captured by a camera and display it on a workstation.
This paper presents a linear complexity mehtod for real-time stereo matching, in which the processing time is only dependent on the image resolution. Regions along each epipolar line are indexed to produce the dispari...
详细信息
This paper presents a linear complexity mehtod for real-time stereo matching, in which the processing time is only dependent on the image resolution. Regions along each epipolar line are indexed to produce the disparity map, instead of searching for the best match. Current local methods have non-linear complexity, as they all rely on searching through a correlation space. The present method is limited to a parallel camera setup, because all disparities must occur in the same direction. A continuity constraint is applied in order to remove false matches. The resulting map is semi-dense, but disparities are well distributed. Experimental results on standard datasets reach around 90% of accuracy using the same parameters in all tests.
The mosaic method of the multi-viewpoint pictures provides a quick;practical means to obtain the multi-viewpoint panoramic image. It is a kind of image-based rendering methods, which joints the texture of real world i...
详细信息
ISBN:
(纸本)1932415262
The mosaic method of the multi-viewpoint pictures provides a quick;practical means to obtain the multi-viewpoint panoramic image. It is a kind of image-based rendering methods, which joints the texture of real world images. In this paper an image geometrical mosaic model of the overlapping images is constructed, a smooth mosaic method is proposed, and an experimental result is given.
Registration of two or more images of the same scene is an important procedure in InSAR imageprocessing that seeks to extract differential phase information exactly between two images. Meanwhile, the efficiency for l...
详细信息
ISBN:
(纸本)0819455202
Registration of two or more images of the same scene is an important procedure in InSAR imageprocessing that seeks to extract differential phase information exactly between two images. Meanwhile, the efficiency for large volume data processing is also a key point in the operational InSAR data processing chain. In this paper, some conventional registration methods are analyzed in detail and the parallel algorithm for registration is investigated. Combining parallel computing model with the intrinsic properties of InSAR data, the authors puts forward an imageparallel registration scheme over distributed cluster of PCs. The preliminary experiment will be implemented and the result demonstrates feasibility and effectiveness of the proposed scheme.
Although Spiral Architecture (SA) has many advantages in imageprocessing and machine vision, there is no available image capture device yet to support this structure. Hence, in order to implement our theoretical resu...
详细信息
ISBN:
(纸本)1932415262
Although Spiral Architecture (SA) has many advantages in imageprocessing and machine vision, there is no available image capture device yet to support this structure. Hence, in order to implement our theoretical results, it is necessary to construct the SA from the existing image structure, on which the traditional image representation is based. Therefore, in this paper we provide two methods, Mimic model and Pseudo model. We can construct the architecture from the rectangular pixels and thus they share the Spiral addressing mechanism. This paper then presents how Pseudo model may help to evaluate the performance of image compression on Spiral Architecture. Based on the two unique properties of Spiral Architecture, i.e. locality of light intensity and uniformity of image partitioning, possible approaches to image compression may be discovered. Our future work would focus on partitioning the image into blocks and implement compression on the transform domain.
The computational demands of multimedia applications have been increasing due to the quest for improved quality and resolution. Sequential implementations may not be able to meet such computational demands. This makes...
详细信息
Computation grids provide large volume of computing resources and have become an attractive alternative for scientific computing. It is desired that the applications are developed to utilize the globally distributed c...
详细信息
ISBN:
(纸本)0769521320
Computation grids provide large volume of computing resources and have become an attractive alternative for scientific computing. It is desired that the applications are developed to utilize the globally distributed computing resources. Partitioning is one important way to achieve this goal. However, whether partitioning an application for computational grids is profitable or not is a basic problem and it is not fully addressed by the existing work. We call it partitionability problem. In our work, we try to quantify this problem and define the concept of computation density and partitionability based on the criteria of response time. We theoretically analyze the relationship between partitionability and application attributes such as I/O and internal communication data size. We show that with given workloads, those applications with higher computation density result in higher partitionability. We also propose a global resource registration mechanism so that the up-to-date resource information is available in partitioning. Our experiments with the simulated map image matching application shows that the proposed concept and frame-work improve the response time of the application by almost 40%.
The SPACE RIP technique is one of the parallel imaging methods that has the potential to revolutionize the field of fast MR imaging. The image reconstruction problem of SPACE RIP is a computation intensive task which ...
详细信息
The SPACE RIP technique is one of the parallel imaging methods that has the potential to revolutionize the field of fast MR imaging. The image reconstruction problem of SPACE RIP is a computation intensive task which needs to be parallelized to further reduce the reconstruction time. In this paper, we analyzed the algorithm and identified the program bottleneck to be parallelized. The loop level parallelization is implemented with Pthread, OpenMP and MPI. Furthermore, since the reconstruction uses Singular Value decomposition (SVD) to solve the matrix pseudoinverse problem, we implemented the one sided Jacobi parallel SVD on the state-of-art cellular computer architecture Cyclops64 to speedup the problem at the fine grain level.
暂无评论