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Integration of Code Scheduling, Memory Allocation, and Array Binding for Memory-Access Optimization

机译:整合代码调度,内存分配和数组绑定以优化内存访问

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In many embedded systems, particularly those with high data computations, the delay of memory access is one of the major bottlenecks in the system's performance. It has been known that there are high variations in memory-access delays depending on the ways of designing memory configurations and assigning arrays to memories. Furthermore, embedded-DRAM technology that provides efficient access modes is actively being developed, possibly becoming a mainstream in future embedded-system design. In that context, in this paper, the authors propose an effective solution to the problem of (embedded DRAM) memory allocation and mapping in memory-access-code generation with the objective of minimizing the total memory-access time. Specifically, the proposed approach, called memory-access-code optimization (MACCESS-opt), solves the three problems simultaneously: 1) determination of memories; 2) mapping of arrays to memories; and 3) scheduling of memory-access operations, so that the use of DRAM-access modes is maximized while satisfying the storage size constraint of embedded systems. Experimental data on a set of benchmark designs are provided to show the effectiveness of the proposed integrated approach. In short, MACCESS-opt reduces the total memory-access latency by over 18%, from which the authors found that the memory mapping and scheduling techniques in MACCESS-opt contribute about 12% and 6% reductions of the total memory-access latency, respectively
机译:在许多嵌入式系统中,尤其是那些具有高数据计算能力的嵌入式系统中,内存访问的延迟是系统性能的主要瓶颈之一。众所周知,取决于设计存储器配置和将阵列分配给存储器的方式,存储器访问延迟有很大的变化。此外,正在积极地开发提供有效访问模式的嵌入式DRAM技术,这有可能成为未来嵌入式系统设计的主流。在这种情况下,作者提出了一种有效的解决方案,以解决(嵌入式DRAM)内存访问代码生成中的内存分配和映射问题,目的是最大程度地减少总的内存访问时间。具体而言,所提出的方法称为内存访问代码优化(MACCESS-opt),可以同时解决三个问题:1)确定内存; 2)将数组映射到内存; 3)内存访问操作的调度,从而在满足嵌入式系统存储大小约束的同时,最大限度地利用了DRAM访问模式。提供了一组基准设计的实验数据,以显示所提出的集成方法的有效性。简而言之,MACCESS-opt将总的内存访问延迟减少了18%以上,作者发现,MACCESS-opt中的内存映射和调度技术可将总的内存访问延迟分别减少12%和6%,分别

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