Title
Source-level timing annotation for fast and accurate TLM computation model generation
Abstract
This paper proposes a source-level timing annotation method for generation of accurate transaction level models for software computation modules. While transaction level modeling (TLM) approach is widely adopted now for system modeling and simulation speed improvement, timing estimation accuracy often is compromised. To have reliable and accurate estimation results at system level, we propose a timing annotation method for accurate TLM computation model generation considering processor architecture with pipeline and cache structures, which are challenging but critical to accurate timing estimation. The experiments show that our results are within 2% of cycle accurate results and the approach is three orders faster than conventional ISS approaches.
Year
DOI
Venue
2010
10.1109/ASPDAC.2010.5419890
ASP-DAC
Keywords
Field
DocType
cycle accurate result,accurate transaction level model,software computation modules,instruction set simulator simulation,cache storage,system modeling,timing annotation method,processor architecture,source-level timing annotation method,timing estimation accuracy,accurate estimation result,accurate transaction level models,software performance evaluation,transaction processing,transaction level modeling,conventional iss approach,cache structures,program processors,accurate tlm computation model,source-level timing annotation,simulation speed improvement,pipeline structures,instruction sets,software computation module,tlm computation model generation,accurate timing estimation,formal specification,pipeline processing,computer model,computational modeling,accuracy,estimation,pipelines
Transaction processing,Cache,Computer science,Instruction set,Transaction-level modeling,Real-time computing,Software,Systems modeling,Microarchitecture,Computation
Conference
ISSN
ISBN
Citations 
2153-6961
978-1-4244-5767-0
32
PageRank 
References 
Authors
1.30
13
3
Name
Order
Citations
PageRank
Kai-Li Lin1321.30
Chen-Kang Lo2442.98
Tsay, Ren-Song336872.19