High-level cost and performance estimation, coupled with a fast hardware/software co-simulation framework, is a key enabler to a fast embedded system design cycle. Unfortunately, the problem of deriving such estimates without a detailed implementation available is difficult.In this paper we describe two approaches to solve software cost and performance estimation problem, and how they are used in an embedded system design environment. A source-based approach uses compilation onto a virtual instruction set, and allows one to quickly obtain estimates without the need for a compiler for the target processor. An object-based approach translates the assembler generated by the target compiler to “assembler-level,” functionally equivalent t C. In both cases the code is annotated with timing and other execution related information (e.g., estimated memory accesses) and is used as a precise, yet fast, software simulation model. We contrast the precision and speed of these two techniques comparing them with those obtainable by a state-of-the-art cycle-based processor model.
Software performance estimation strategies in a system-level design tool / J. R., Bammi; E., Harcourt; W., Kruitzer; Lavagno, Luciano; Lazarescu, MIHAI TEODOR. - ELETTRONICO. - (2000), pp. 82-86. (Intervento presentato al convegno CODES '00 tenutosi a San Diego, California, USA) [10.1145/334012.334028].
Software performance estimation strategies in a system-level design tool
LAVAGNO, Luciano;LAZARESCU, MIHAI TEODOR
2000
Abstract
High-level cost and performance estimation, coupled with a fast hardware/software co-simulation framework, is a key enabler to a fast embedded system design cycle. Unfortunately, the problem of deriving such estimates without a detailed implementation available is difficult.In this paper we describe two approaches to solve software cost and performance estimation problem, and how they are used in an embedded system design environment. A source-based approach uses compilation onto a virtual instruction set, and allows one to quickly obtain estimates without the need for a compiler for the target processor. An object-based approach translates the assembler generated by the target compiler to “assembler-level,” functionally equivalent t C. In both cases the code is annotated with timing and other execution related information (e.g., estimated memory accesses) and is used as a precise, yet fast, software simulation model. We contrast the precision and speed of these two techniques comparing them with those obtainable by a state-of-the-art cycle-based processor model.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/1667466
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