Exploiting Data Transfer Locality in Memory Mapping

System-level exploration of memory architectures is one of the key issues in successful implementation of datatransfer dominated applications. Usually, one of the main design bottlenecks is the memory access bandwidth. Transformations, rearranging the layout of the data records stored in memory, are very effective to improve the locality of the data transfers but usually lead to a large memory bit-wastage when not performed carefully. In this paper, a methodology which reduces memory bandwidth requirements without sacrificing storage space is proposed. The methodology exploits parallelism in the data-transfers to rearrange the layout of the data records. Distributed memory organization combined with our proposed layout rearrangement methodology allow to effectively reduce the memory bandwidth bottleneck in data-transfer dominated applications.