We describe a general purpose environment for the development of parallelimageprocessing/computer vision algorithms: PRIME (parallelimage Media processing Environment). ''General purpose'' here mean...
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ISBN:
(纸本)0819425885
We describe a general purpose environment for the development of parallelimageprocessing/computer vision algorithms: PRIME (parallelimage Media processing Environment). ''General purpose'' here means that the environment is designed so as to be used on a variety of multi-processor systems ranging from tightly-coupled computers to loosely-coupled computers. The key point of the system is that it provides an architecture-independent programming environment for imageprocessing and computer vision. We show the outline of PRIME, its implementation, and its preliminary performance evaluation.
This paper describes two different parallel computing approaches for imageprocessing problems on a Pentium based multiprocessor-system. These multiprocessor computers are often used as network servers. We demonstrate...
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ISBN:
(纸本)0819425885
This paper describes two different parallel computing approaches for imageprocessing problems on a Pentium based multiprocessor-system. These multiprocessor computers are often used as network servers. We demonstrate the utilization of one of these machines, equipped with four Intel Pentium processors, far a parallelimageprocessing task. A parallel computation of motion vector-fields based on correlation techniques is discussed to show the possible acceleration. The computational results show that a high efficiency can be reached, even a linear speedup is possible under certain conditions. Besides the mentioned correlation technique there are various imageprocessing problems that can easily be evaluated in parallel. Although massively parallel systems and special purpose systems are much faster, off-line imageprocessing can be accelerated by using these broadly available low-cost machines.
SIMD parallel systems have been employed for imageprocessing and computer vision applications since their inception. This paper describes a system in which parallel programs are implemented using a machine-independen...
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ISBN:
(纸本)0819425885
SIMD parallel systems have been employed for imageprocessing and computer vision applications since their inception. This paper describes a system in which parallel programs are implemented using a machine-independent, retargetable object library that provides SIMD execution on the Lockheed Mar-tin PAL-I SIMD parallel processor. Programs' performance on this machine is improved through on-the-fly execution analysis and scheduling. We describe the relevant elements of the system structure, the general scheme for execution analysis, and the current cost model for scheduling.
Chromosome image segmentation is an important step toward automatic karyotyping that involves visualization and interpretation of chromosomes. In this paper, we analyze the characteristics of chromosome images that ca...
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ISBN:
(纸本)0819425885
Chromosome image segmentation is an important step toward automatic karyotyping that involves visualization and interpretation of chromosomes. In this paper, we analyze the characteristics of chromosome images that can be effectively used for segmenting chromosomes and can be efficiently extracted on the Lockheed-Martin PAL parallelimage processor. We design and implement a parallel algorithm that uses local features to split touching chromosomes.
distributed computing provides a cost-effective solution for computation intensive problems. With the emerging of networking operating system for personal computer (PC), such as WindowsNT, it is now feasible to develo...
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ISBN:
(纸本)0819425885
distributed computing provides a cost-effective solution for computation intensive problems. With the emerging of networking operating system for personal computer (PC), such as WindowsNT, it is now feasible to develop distributed computing on a network of PCs. In addition, the computing power delivered by a PC is kept increasing whilst the cost is decreasing. Implying that the performance/cost factor for a PC is high and tile computing power delivered by the network is enormous. In this paper, we describe a software system which enables users to develop distributed computing program using the SPMD (Single Program Multiple Data) paradigm very quickly under the WindowsNT operating system. The programming model for the system is simple and a user can control the system through a graphical interface. The results show that our system provides a reasonable speedup in solving imageprocessing problems.
The use of multiprocessor systems is a well suited solution to handle the problem of implementing realtime imageprocessing applications. We use a multiresolution image decomposition algorithm to show how the A(3) met...
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ISBN:
(纸本)0819425885
The use of multiprocessor systems is a well suited solution to handle the problem of implementing realtime imageprocessing applications. We use a multiresolution image decomposition algorithm to show how the A(3) methodology (Algorithm Architecture Adequation), and the CAD software SynDEx which support it, may improve the implementation of such algorithms on a multi-DSP architecture. The application algorithm as well as the hardware are specified with graphs, then the implementation may be formalized in terms of graphs transformations. This methodology reduces significantly the development cycle of imageprocessing applications, by simplifying test and debug process.
We present a new parallel volume rendering algorithm based on the split-light model for rendering and the Bulk Synchronous parallel (BSP) model for parallelization. The BSP model provides a simple and architecture-ind...
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ISBN:
(纸本)0819425885
We present a new parallel volume rendering algorithm based on the split-light model for rendering and the Bulk Synchronous parallel (BSP) model for parallelization. The BSP model provides a simple and architecture-independent approach to structure the parallel program. This parallel program has been tested on a shared memory SGI PowerChallenge machine, a distributed memory IBM SP2 machine and a network of UNIX workstations.
This article presents a new generation in parallelprocessing architecture for real-time imageprocessing. The approach is implemented in a real time image processor chip, called the Xium(TM)-2, based on combining a f...
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ISBN:
(纸本)0819425885
This article presents a new generation in parallelprocessing architecture for real-time imageprocessing. The approach is implemented in a real time image processor chip, called the Xium(TM)-2, based on combining a fully associative array which provides the parallel engine with a serial RISC core on the same die. The architecture is fully programmable and can be programmed to implement a wide range of color imageprocessing, computer vision and media processing functions in real time. The associative part of the chip is based on patented pending methodology of Associative Computing Ltd. (ACL), which condenses 2048 associative processors, each of 128 ''intelligent'' bits. Each bit can be a processing bit or st memory bit. At only 33 Mhz and 0.6 micron manufacturing technology process, the chip has It computational power of 3 Billion ALU operations per second and 66 Billion string search operations per second. The fully programmable nature of the Xium(TM)-2 chip enables developers to use ACL tools to write their own proprietary algorithms combined with existing imageprocessing and analysis functions from ACL's extended set of libraries.
Experiments in parallelizing an edge detection algorithm on three representative message-passing architectures-a low-cost, heterogeneous PVM network, an Intel iPSC/860 hypercube, and a CM-5 massively parallel multicom...
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Experiments in parallelizing an edge detection algorithm on three representative message-passing architectures-a low-cost, heterogeneous PVM network, an Intel iPSC/860 hypercube, and a CM-5 massively parallel multicomputer-provide insight into implementation and performance issues for image-processing applications.
parallelization of image analysis tasks forms a basic key for processing huge image data in real time. At this, suitable subtasks for parallelprocessing have to be extracted and mapped to components of a distributed ...
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