DocumentCode
3229817
Title
Fast, quasi-optimal, and pipelined instruction-set extensions
Author
Verma, Ajay K. ; Brisk, Philip ; Ienne, Paolo
Author_Institution
Ecole Polytech. Fed. de Lausanne, Lausanne
fYear
2008
fDate
21-24 March 2008
Firstpage
334
Lastpage
339
Abstract
Nowadays many customised embedded processors offer the possibility of speeding up an application by implementing it using application-specific functional units (AFUs). However, the AFUs must satisfy certain constraints in terms of read and write ports between AFU and processor register file. Due to these restrictions the size and complexity of AFUs remain small. However, in recent some work has been done on relaxing the register file port constraints by serialising register file access (i.e., by allowing multi cycle read and write). This makes the problem of selecting best AFU significantly more complex. Most previous approaches use a two staged process to solve this problem, i.e., first selecting AFUs under some higher I/O constraints and then serialise them under the actual register file port constraints. Not only these methods are complex but also lead to suboptimal solutions. In this paper we formulate the AFU selection problem as an integer linear programming and solve it optimally. We show experimentally that our methodology produces significantly better results compared to state of art techniques.
Keywords
coprocessors; hardware-software codesign; instruction sets; integer programming; linear programming; AFU selection problem; application-specific functional units; customised embedded processors; integer linear programming; pipelined instruction-set extensions; register file access; register file port constraints; Application software; Art; Availability; Computer aided instruction; Constraint optimization; Embedded computing; Hardware; Integer linear programming; Pipeline processing; Registers;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference, 2008. ASPDAC 2008. Asia and South Pacific
Conference_Location
Seoul
Print_ISBN
978-1-4244-1921-0
Electronic_ISBN
978-1-4244-1922-7
Type
conf
DOI
10.1109/ASPDAC.2008.4483970
Filename
4483970
Link To Document