NDLI: Dynamic configuration of application-specific implicit instructions for embedded pipelined processors

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Dynamic configuration of application-specific implicit instructions for embedded pipelined processors

Content Provider	ACM Digital Library
Author	Agosta, Giovanni Sykora, Martino Silvano, Cristina
Abstract	In this paper, we propose the dynamic configuration of application specific implicit instructions for pipelined processors to better exploit the available parallelism at instruction level. Given the target application, the compiler selects a set of candidate instructions to be implicitly executed - i.e. their execution is controlled through a data-driven model, which avoids explicit instruction fetch. Consequently, the clock cycles usually required for the explicit issues are saved, thus improving the performance and reducing the code size. The compiler generates the reconfiguration operations to properly setup the data-path. The processor pipeline has been optimized to support the parallel execution of implicitly issued instructions, requiring a limited hardware overhead. The proposed technique has a negligible impact on the processor ISA - only reconfiguration instructions are added - which also benefits the compiler development times, since the optimization can be almost seamlessly added to an existing compilation tool-chain. The proposed approach has been applied to DSP and multimedia kernel loops, comparing its performance with those of two different baseline architectures: a scalar MIPS processor and a 4-issue VLIW processor of the LX family provided by STMicroelectronics [5]. Experimental results show a speedup ranging from 10 to 35%, and an average code size reduction of 19%.
Starting Page	1509
Ending Page	1516
Page Count	8
File Format	PDF
ISBN	9781595937537
DOI	10.1145/1363686.1364040
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Pipelined architecture Implicit issue Reconfiguration
Content Type	Text
Resource Type	Article

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