Practical challenges of ILP-based SPM allocation optimizations
International Workshop on Software and Compilers for Embedded Systems, SCOPES: 86-89 (2016-05-23)
Contribution to Conference
Scratchpad Memory (SPM) allocation is a well-known technique for compiler-based code optimizations. Integer-Linear Programming has been proven to be a powerful technique to determine which parts of a program should be moved to the SPM. Although the idea is quite straight-forward in theory, the technique features several challenges when being applied to modern embedded systems. In this paper, we aim to bring out the main issues and possible solutions which arise when trying to apply those optimizations to existing hardware platforms.