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Overview of AIM: supporting computer vision on heterogeneoushigh-performance computing systems,

机译:AIM概述:支持异构高性能计算系统上的计算机视觉,

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Abstract: The AIM (Adaptive Image Manager) is a client/server based system providing a computer vision and image processing specific protocol that interfaces to potentially numerous varying computing platforms providing image processing and computer vision support. It provides a unified programming interface for the user despite the potential heterogeneity of the underlying hardware supporting the image processing. Computational platforms currently being studied include the Lockheed Martin PAL system, floating point gate arrays, and symmetric multiprocessors. The Open Distributed Processing Reference Model (ODP-RM) is an ISO standards effort (ISO/IEC 10746-1/2/3/4) to address the specification and implementation f distributed processing systems, providing an architecture for integrating distribution support, interworking, and portability. The ODP Reference Model is exploited in the design to support transparent distribution of image processing and computer vision processes to available computational devices. The AIM System's ODP Model is specified using Object-Z, a formal descriptive notation that is commonly employed for ODP specification. Use of Object-Z notation supports formal analysis of the system's properties, helping us verify that its design satisfies its goals. This paper presents an example image processing algorithm (Simple Image Statistic Thresholding) as a framework for understanding both the method of distribution and the benefits obtained from the use of our model description.!17
机译:摘要:AIM(自适应图像管理器)是一个基于客户端/服务器的系统,提供了计算机视觉和图像处理特定的协议,该协议与可能提供图像处理和计算机视觉支持的众多计算平台接口。尽管支持图像处理的底层硬件可能存在异质性,但它仍为用户提供了统一的编程接口。当前正在研究的计算平台包括Lockheed Martin PAL系统,浮点门阵列和对称多处理器。开放式分布式处理参考模型(ODP-RM)是一项ISO标准工作(ISO / IEC 10746-1 / 2/3/4),旨在解决分布式处理系统的规范和实现,提供了一种集成分发支持,互通的体系结构以及可移植性。设计中使用了ODP参考模型,以支持将图像处理和计算机视觉过程透明分发到可用的计算设备。 AIM系统的ODP模型是使用Object-Z来指定的,Object-Z是ODP规范中常用的正式描述性符号。使用Object-Z表示法可以对系统属性进行形式化分析,从而帮助我们验证其设计是否满足其目标。本文提出了一个示例图像处理算法(简单图像统计阈值)作为框架,以了解分发方法和使用我们的模型描述获得的收益。17

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