Programming strategies for contextual runtime specialization

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Carvalho, T (Author) Other; Pinto, P (Author) Other; João M. P. Cardoso (Author) FEUP

Conference proceedings International

Title: Proceedings of the 18th International Workshop on Software and Compilers for Embedded Systems, SCOPES 2015

Pages: 3-11

18th International Workshop on Software and Compilers for Embedded Systems, SCOPES 2015

1 June 2015 through 3 June 2015

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00G-SYJ

DOI: 10.1145/2764967.2764973

Abstract (EN): Runtime adaptability is expected to adjust the application and the mapping of computations according to usage contexts, operating environments, resources availability, etc. However, extending applications with adaptive features can be a complex task, especially due to the current lack of programming models and compiler support. One of the runtime adaptability possibilities is the use of specialized code according to data workloads and environments. Traditional approaches use multiple code versions generated offline and, during runtime, a strategy is responsible to select a code version. Moving code generation to runtime can achieve important improvements but may impose unacceptable overhead. This paper presents an aspect-oriented programming approach for runtime adaptability. We focus on a separation of concerns (strategies vs. application) promoted by a domain-specific language for programming runtime strategies. Our strategies allow runtime specialization based on contextual information. We use a template-based runtime code generation approach to achieve program specialization. We demonstrate our approach with examples from image processing, which depict the benefits of runtime specialization and illustrate how several factors need to be considered to eficiently adapt the application. © 2015 ACM.

Language: English

Type (Professor's evaluation): Scientific