
Contemporary multimedia processors and applications are increasingly limited by their data accessing capabilities. However, the designed Configurable Parallel Memory Architecture (CPMA) alleviates these multimedia data accessing requirements; achieving significant performance improvements over traditional memory architectures. CPMA decreases considerably the processor-memory bottleneck by widening the memory bandwidth, decreasing the number of memory accesses, and diminishing the significance of memory latency. To further enhance the performance of CPMA, this paper introduces a novel architectural extension called CPMA access instruction correlation recognition. The presented method is intended for accelerating the execution rate of consecutive, temporally conflict-free, CPMA memory accesses. As demonstrated in this paper, the superior CPMA performance can also be maintained in the case of limited access widths. In addition, the presented results confirm that CPMA can have an acceptable silicon area.
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