Open AccessCustomised soft processor design: a compromise between architecture description languages and parameterisable processors
Author(s) -
Vakili Shervin,
Langlois J.M. Pierre,
Bois Guy
Publication year - 2013
Publication title -
iet computers and digital techniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.219
H-Index - 46
eISSN - 1751-861X
pISSN - 1751-8601
DOI - 10.1049/iet-cdt.2012.0088
Subject(s) - datapath , computer science , computer architecture , flexibility (engineering) , microarchitecture , instruction set , processor design , process (computing) , set (abstract data type) , architecture , design space exploration , embedded system , parallel computing , operating system , programming language , art , statistics , mathematics , visual arts
Processor customisation is an effective technique to enhance performance across an application domain. In this study, the authors present a new customised soft processor development environment called polytechnique customised soft processor (PolyCuSP), which bridges the gap between architecture description languages (ADLs) and extensible soft processors. The main objective of this environment is to facilitate rapid design space exploration while preserving a wide range of customisation flexibility. For this purpose, PolyCuSP offers full flexibility in instruction‐set description, while limiting the datapath customisation to a predefined set of tunable microarchitectural parameters. The environment avoids extensive datapath description that is unnecessary for usual microarchitectural customisation techniques in order to simplify the development process. A new XML‐based description format is introduced for instruction‐set modelling. Experimental results evaluate and compare the design and customisation complexities offered by PolyCuSP with competitive approaches. Results demonstrate the efficiency of applying customisation techniques in the proposed environment. For the Sobel edge detection algorithm, the results show that microarchitectural tuning and instruction‐set architecture customisation improve the performance‐per‐cost ratio by an average of 44 and 27%, respectively. Furthermore, in a case study of a tone‐mapping algorithm, PolyCuSP achieves an average improvement of 38% in performance‐per‐cost ratio over an ADL‐based design applying the same customisations.