Balancing DRAM locality and parallelism in shared memory CMP systems

Minseong Jeong, D. Yoon, Dam Sunwoo, Michael B. Sullivan, Ikhwan Lee, M. Erez
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引用次数: 140

Abstract

Modern memory systems rely on spatial locality to provide high bandwidth while minimizing memory device power and cost. The trend of increasing the number of cores that share memory, however, decreases apparent spatial locality because access streams from independent threads are interleaved. Memory access scheduling recovers only a fraction of the original locality because of buffering limits. We investigate new techniques to reduce inter-thread access interference. We propose to partition the internal memory banks between cores to isolate their access streams and eliminate locality interference. We implement this by extending the physical frame allocation algorithm of the OS such that physical frames mapped to the same DRAM bank can be exclusively allocated to a single thread. We compensate for the reduced bank-level parallelism of each thread by employing memory sub-ranking to effectively increase the number of independent banks. This combined approach, unlike memory bank partitioning or sub-ranking alone, simultaneously increases overall performance and significantly reduces memory power consumption.
在共享内存CMP系统中平衡DRAM局部性和并行性
现代存储系统依靠空间局部性来提供高带宽,同时最小化存储设备的功率和成本。然而,增加共享内存的内核数量的趋势降低了明显的空间局部性,因为来自独立线程的访问流是交错的。由于缓冲限制,内存访问调度只能恢复原始局部性的一小部分。我们研究了减少线程间访问干扰的新技术。我们建议在内核之间划分内部存储库以隔离它们的访问流并消除局部性干扰。我们通过扩展操作系统的物理帧分配算法来实现这一点,这样映射到同一DRAM库的物理帧可以专门分配给单个线程。我们通过使用内存子排序来有效地增加独立银行的数量,从而补偿每个线程的银行级并行性的降低。与单独的内存库分区或子排序不同,这种组合方法可以同时提高整体性能并显著降低内存功耗。
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