Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Memory bank and register allocation in software synthesis for ASIPs
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Enhanced genetic algorithms and their application in retargetable code generation
Enhanced genetic algorithms and their application in retargetable code generation
Mapping reference code to irregular DSPs within the retargetable, optimizing compiler COGEN(T)
Proceedings of the 34th annual ACM/IEEE international symposium on Microarchitecture
Fast source-level data assignment to dual memory banks
SCOPES '08 Proceedings of the 11th international workshop on Software & compilers for embedded systems
Adaptive Source-Level Data Assignment to Dual Memory Banks
ACM Transactions on Embedded Computing Systems (TECS)
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In this paper, we present a methodology, based on an Enhanced Genetic Algorithm (EGA), for assigning data objects to dual-bank memories. Our approach is global, and special effort is made to identify those objects that could potentially benefit from an assignment to a specific memory, or perhaps duplication in both memories. The enhancements to the genetic algorithm include a directed mutation operator and a new type of elitism. Together, these enhancements improve the performance of the genetic algorithm and allow the EGA to run unsupervised. The EGA has been incorporated into a retargetable, optimizing compiler for embedded systems, currently under development at the University of Guelph.