Experiments with the LARA aspect-oriented approach

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Coutinho, JGF (Author) Other; Carvalho, T (Author) Other; Durand, S (Author) Other; João M. P. Cardoso (Author) FEUP; Nobre, R (Author) Other; Diniz, PC (Author) Other; Luk, W (Author) Other

Conference proceedings International

Title: AOSD'12 Companion - Proceedings of the 11th Annual International Conference on Aspect Oriented Software Development

Pages: 27-30

11th Annual International Conference on Aspect Oriented Software Development, AOSD'12

Potsdam, 25 March 2012 through 30 March 2012

Indexing

Scopus - 4 Citations

Other information

Authenticus ID: P-008-3PQ

DOI: 10.1145/2162110.2162129

Abstract (EN): This demonstration presents a novel design-flow and aspect-oriented language called LARA [1], which is currently used to guide the mapping of high-level C application codes to heterogeneous high-performance embedded systems. In particular, LARA is capable of capturing complex strategies and schemes involving: hardware/software partitioning, code specialization, source code transformations and code instrumentation. A key element of LARA, and a distinguishing feature from existing approaches, is its ability to support the specification of non-functional requirements and user knowledge in a non-invasive way in the exploration of suitable implementations. The design-flow incorporates several tools, such as a LARA frontend, a hardware/software partitioning tool, an aspect weaver, cost estimator, and a source-level transformation engine. All these components can be coordinated as part of an elaborate application mapping strategy using LARA. In this demonstration, we illustrate how non-functional cross-cutting concerns such as runtime monitorization and performance are codified and described in LARA and how the weaving process affects selected applications. Furthermore, we also explain how third-party tools, such as gprof, can be incorporated into the design-flow and aspect description, for instance, to affect the hardware/software partitioning process. We demonstrate how LARA can be used to extract run-time information, such as range values of variables, and can control code transformations and compiler optimizations addressing customized implementations of the corresponding computations on FPGAs. © 2012 ACM.

Language: English

Type (Professor's evaluation): Scientific