SUMMARYWide varieties of register file architectures -developed for embedded processorshave turned to aim at reducing the power dissipation and die size these years, by contrast with the traditional unified register file structures. This article presents a novel register allocation scheme for a clustered VLIW DSP, which is designed with distinctively banked register files in which port access is highly restricted. Whilst the organization of the register files is designed to decrease the power consumption by using fewer port connections, the cluster-based design makes register access across clusters an additional issue, and the switched-access nature of the register file demands further investigations into optimizing register assignment for increasing the instruction-level parallelism. We propose a heuristic algorithm, named ping-pong aware local favorable (PALF) register allocation, to obtain advantageous register allocation that is expected to better utilize irregular register file architectures. The results of experiments performed using a compiler based on the Open Research Compiler (ORC), showed significant performance improvement over the original ORC's approach, which is considered to be an optimized approach for common register file architectures.key words: register allocation; ping-pong register file; DSP; VLIW

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Abstract-The customization of architectures in designing the security processor-based systems typically involves timeconsuming simulation and sophisticated analysis in the exploration of design spaces. In this paper, we present an analytical modeling strategy for synoptically exploring of the candidate architectures of security processor-based systems. of We demonstrate examples to employ our analytical models for design space explorations of embedded security systems to deal with scalability issues and architecture constraints. The experiments with the cycle-accurate simulation exhibit the applicability of analytical modeling: average prediction error is less than 10% while speed improvement is in several orders of magnitude.