2007Journal of Henan Normal UniversityRequires access

Instruction Selection for Embedded DSPs with Complex Instruction

Chen Yan-haoa

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Abstract

In this paper,we mainly explore the problem of code selection in code generation for embedded digital signal processor.We explore how such complex instructions affect the detection of optimal tree covering.Meanwhile,we introduce a two-phase model for code selection which can exploit available instruction parallel efficiently.Compared with previous work,this technology can significantly improve the code quality,which is demonstrated for a widespread DSPs.

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What this paper is about

In this paper,we mainly explore the problem of code selection in code generation for embedded digital signal processor.We explore how such complex instructions affect the detection of optimal tree covering.Meanwhile,we introduce a two-phase model for code selection which can exploit available instruction parallel efficiently.Compared with previous work,this technology can significantly improve the code quality,which is demonstrated for a widespread DSPs.

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Available abstract

In this paper,we mainly explore the problem of code selection in code generation for embedded digital signal processor.We explore how such complex instructions affect the detection of optimal tree covering.Meanwhile,we introduce a two-phase model for code selection which can exploit available instruction parallel efficiently.Compared with previous work,this technology can significantly improve the code quality,which is demonstrated for a widespread DSPs.

Key concepts: Computer science, Code (set theory), Selection (genetic algorithm), Exploit, Digital signal processor, Parallel computing, Digital signal processing, Computer architecture

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