一个实时多通道内存控制器和内存客户端到内存通道的最佳映射

M. Gomony, B. Akesson, K. Goossens
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引用次数: 18

摘要

对主存带宽和内存速度/功率权衡的需求不断增加,导致引入了具有多个内存通道的内存,例如宽IO DRAM。在多处理器实时系统中,多通道内存作为共享资源的有效利用取决于将内存客户端根据其对延迟、带宽、通信和内存容量的需求映射到内存通道。然而,目前还没有多通道存储器的实时存储器控制器,也没有在实时系统中优化配置多通道存储器的方法。作为朝这个方向的第一个工作,我们在本文中提出了两个主要贡献:(1)一个可配置的实时多通道内存控制器架构,它具有逻辑到物理地址转换的新方法;(2)两种将内存客户端映射到内存通道的设计时方法,一种是基于映射问题的整数规划公式的最佳算法,另一种是快速启发式算法。通过实验验证了多通道存储器控制器结构对带宽和延迟的实时性保证。此外,我们比较了求解器中的映射问题公式和启发式算法在计算时间和映射成功率方面与两种现有映射算法的性能。我们表明,对于实际规模的问题,使用求解器可以在2小时内找到最优解,而使用启发式可以在不到1秒的时间内找到小于7%的映射失败。最后,我们演示了在高清(HD)视频和图形处理系统中配置宽IO DRAM,以强调本工作的实用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Real-Time Multichannel Memory Controller and Optimal Mapping of Memory Clients to Memory Channels
Ever-increasing demands for main memory bandwidth and memory speed/power tradeoff led to the introduction of memories with multiple memory channels, such as Wide IO DRAM. Efficient utilization of a multichannel memory as a shared resource in multiprocessor real-time systems depends on mapping of the memory clients to the memory channels according to their requirements on latency, bandwidth, communication, and memory capacity. However, there is currently no real-time memory controller for multichannel memories, and there is no methodology to optimally configure multichannel memories in real-time systems. As a first work toward this direction, we present two main contributions in this article: (1) a configurable real-time multichannel memory controller architecture with a novel method for logical-to-physical address translation and (2) two design-time methods to map memory clients to the memory channels, one an optimal algorithm based on an integer programming formulation of the mapping problem, and the other a fast heuristic algorithm. We demonstrate the real-time guarantees on bandwidth and latency provided by our multichannel memory controller architecture by experimental evaluation. Furthermore, we compare the performance of the mapping problem formulation in a solver and the heuristic algorithm against two existing mapping algorithms in terms of computation time and mapping success ratio. We show that an optimal solution can be found in 2 hours using the solver and in less than 1 second with less than 7% mapping failure using the heuristic for realistically sized problems. Finally, we demonstrate configuring a Wide IO DRAM in a high-definition (HD) video and graphics processing system to emphasize the practical applicability and effectiveness of this work.
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