DocumentCode :
124034
Title :
Towards domain-specific Instruction-Set Generation
Author :
Pulli, Adithya ; Galuzzi, Carlo ; Gaydadjiev, Georgi
fYear :
2014
fDate :
2-4 Sept. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Over the past years, a considerable amount of effort has been devoted to the definition and implementation of techniques for the optimization and acceleration of applications on various (reconfigurable) computing platforms. Among these techniques, the extension of a given instruction-set architecture with custom instructions has become a common approach. Custom instructions effectively reduce the dynamic instruction count, which, in turn, leads to an increase in performance. Traditionally, existing techniques address Instruction-Set Extension (ISE) on a per-application basis. Anyhow, when many applications have to be considered at the same time, ISE on a per-application basis is, clearly, less effective, as the custom instructions have, often, limited re-utilization across applications. To overcome this problem, we propose a new framework for the automatic generation of domain-specific ISEs. Experimental results show that, the proposed framework, evaluated on a number of applications from various domains, can effectively generate domain-specific instructions with high utilization factor across the targeted applications. At the same time, the generated instructions dramatically reduce the instruction count, 50% on average and upto 95% in special cases. This, in turn, can lead to a considerable improvement in performance.
Keywords :
data flow graphs; instruction sets; microprocessor chips; ISE; custom instructions; data flow graphs; domain specific instruction set generation; dynamic instruction count; instruction set extension; Educational institutions; Hardware; Measurement; Merging; Optimization; Program processors; Registers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Field Programmable Logic and Applications (FPL), 2014 24th International Conference on
Conference_Location :
Munich
Type :
conf
DOI :
10.1109/FPL.2014.6927423
Filename :
6927423
Link To Document :
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