面向车载数据处理的可重构并行计算体系结构

M. Syed, Eberhard Schüler
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引用次数: 6

摘要

越来越多地使用新的地球观测和通信技术,再加上快速变化的客户需求,需要一种高性能和灵活的机载数据处理技术。目前可用的处理器空间无法处理如此大的量级。另一种方法是开发提供高处理能力的特定应用ic (asic),但缺乏适应新兴标准和改进的灵活性是一个主要缺点。PACT AG开发的极限处理平台(XPP)通过提供处理器内核的灵活性以及类似ASIC的性能,为这种困境提供了解决方案。XPP是一种运行时可重构数据处理技术,采用可扩展的算术处理单元阵列、嵌入式存储器、高带宽I/O、面向数据包的内部网络,旨在支持并行性。本文概述了XPP核心架构,将该技术与现有的空间处理器进行了比较,并评估了小波变换算法在XPP上的实现以及XPP架构向耐辐射半导体技术的转变
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Reconfigurable Parallel Computing Architecture for On-Board Data Processing
The increasing use of new Earth-observation and communication technologies coupled with rapidly changing customer needs require a high performance and flexible processing technology for on-board data processing. Currently available processors for space cannot handle processing such a large magnitude. An alternative approach would be the development of application specific ICs (ASICs) which offer high processing power, but the lack of flexibility for adaptation to emerging standards and improvements is a major disadvantage. The extreme processing platform (XPP) developed by PACT AG offers a solution to this dilemma by providing the flexibility of a processor kernel along with the performance similar to an ASIC. The XPP is a runtime reconfigurable data processing technology built using a scalable array of arithmetic processing units, embedded memories, high bandwidth I/O, a packet oriented internal network and designed to support parallelism. This paper gives an overview of the XPP core architecture, compares the technology with currently available space processors, and assesses the implementation of wavelet transformation algorithm on XPP and the transfer of XPP architecture to a radiation tolerant semiconductor technology
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