文章基本信息

标题：Proficient Pair of Replacement Algorithms on L1 and L2 Cache for Merge Sort
本地全文：下载
作者：Richa Gupta ; Sanjiv Tokekar
期刊名称：Journal of Computing
电子版ISSN：2151-9617
出版年度：2010
卷号：2
期号：3
出版社：Journal of Computing
摘要：Memory hierarchy is used to compete the processors speed. Cache memory is the fast memory which is used to conduit the speed difference of memory and processor. The access patterns of Level 1 cache (L1) and Level 2 cache (L2) are different, when CPU not gets the desired data in L1 then it accesses L2. Thus the replacement algorithm which works efficiently on L1 may not be as efficient on L2. Similarly various applications such as Matrix Multiplication, Web, Fast Fourier Transform (FFT) etc will have varying access pattern. Thus same replacement algorithm for all types of application may not be efficient. This paper works for getting an efficient pair of replacement algorithm on L1 and L2 for the algorithm Merge Sort. With the memory reference string of Merge Sort, we have analyzed the behavior of various existing replacement algorithms on L1. The existing replacement algorithms which are taken into consideration are: Least Recently Used (LRU), Least Frequently Used (LFU) and First In First Out (FIFO). After Analyzing the memory reference pattern of Merge Sort, we have proposed a Partition Based Replacement algorithm (PBR_L1)) on L1 Cache. Furthermore we have analyzed various pairs of algorithms on L1 and L2 respectively, resulting in finding a suitable pair of replacement algorithms. Simulation on L1 shows, among the considered existing replacement algorithms FIFO is performing better than others. While the proposed replacement algorithm PBR_L1 is working about 1.7% to 44 % better than FIFO for various cache sizes. The analysis for various pairs on L1 and L2 respectively shows that among the considered existing various pairs the best pair is FIFO followed by FIFO. While the proposed replacement policy PBR_L1 followed by FIFO works approximately 66% to 100% better than the pair FIFO-FIFO for various cache sizes. Furthermore simulation results by fixing the cache size L1 and L2 and varying list length shows that the performance of proposed algorithm on L1 is better than others considered in this paper. Similar analysis done for various pairs shows that the pair PBR_L1 on L1 followed by FIFO on L2 is superior to other pairs for varying length list.