Paper Info
Title
Practical Challenges of ILP-based SPM Allocation Optimizations.
Abstract
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.
Year
DOI
Venue
2016
10.1145/2906363.2906371
SCOPES
Field
DocType
Citations 
Programming language,Computer science,Scratchpad memory,Parallel computing,Compiler,Real-time computing,Integer programming
Conference
2
PageRank 
References 
Authors
0.37
3
3
Name
Order
Citations
PageRank
Dominic Oehlert120.71
Arno Luppold2155.59
Heiko Falk346231.54