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An Application Development Framework for ARISE Reconfigurable Processors

delete2009-09-01
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PRE
AI
N
Nikolaos Vassiliadis *
S
S. Nikolaidis
DOI:10.1145/1575779.1575784delete
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摘要

摘要

En 中文
Coupling reconfigurable hardware accelerators with processors is an effective way to meet the performance and flexibility required to cope with modern embedded applications. The ARISE framework provides a systematic approach to extend a processor once. It will thereafter support the coupling of arbitrary hardware accelerators. The accelerators can be coupled as coprocessors or functional units of the processor's datapath, and therefore exploited as a hybrid, which includes both loose and tight computational models. This article presents a complete framework for developing applications on such hybrid reconfigurable ARISE machines. The framework integrates the automatic identification of custom instructions and the semiautomatic/profiling-driven identification of coprocessors supporting the hybrid computational model. Moreover, it supports a modular design approach where the software and the hardware modules are developed independently and later ported into any ARISE machine with reconfigurable technology. To evaluate efficiency, a set of benchmarks is implemented on an ARISE evaluation machine utilizing the proposed framework. In addition, the ARISE machine is compared against a well-established processor paradigm that utilizes reconfigurable accelerators following only the typical coprocessor approach. Experimental results prove that the framework can be used to exploit the hybrid computational model and achieve significant performance improvements over the typical coprocessor acceleration approach. Moreover, results demonstrate how the framework can be used to trade off performance, silicon area, and application development time.
Keyword:
Design
Performance
Algorithms
Reconfigurable processors
hybrid computational model
custom computing units
instruction set extensions
development framework
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期刊

ACM Transactions on Reconfigurable Technology and Systems 封面图
ACM Transactions on Reconfigurable Technology and Systems
IF:
2.8
论文数:
599
被引数:
810

机构

A
aristotle university of thessaloniki
学者数:
2.6W
论文数: 2.0W
被引数: 19
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