A Graph Based Framework to Detect Optimal Memory Layouts for Improving Data Locality

In order to extract high levels of performance from modern parallel architectures, the effective management of deep memory hierarchies is very important. While architectural advances in caches help in better utilization of the memory hierarchy, compiler-directed locality enhancement techniques are also important. In this paper we propose a locality improvement technique that uses data space (array layout) transformations in contrast to most of the previous work based on iteration space (loop) transformations. In other words, rather than changing the order of loop iterations, our technique modifies the memory layouts of multi-dimensional arrays. In comparison with previous work on data transformations it brings two novelties. First, we formulate the problem on a special graph structure called the layout graph (LG) and use integer linear programming (ILP) methods to determine optimal layouts. Second, in addition to static layout detection, our approach also enables the compiler to deter...

• Type: Conference
• Year: 1999
• Where: IPPS
• Authors: Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanujam, Prithviraj Banerjee
• Keywords: Deep Memory Hierarchies, Distributed And Parallel Computing, IPPS 1999, Memory Layouts, Optimal Dynamic Layouts