Performance-driven instrumentation and mapping strategies using the LARA aspect-oriented programming approach
Summary The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required functionality, developers must consider various and often conflicting nonfunctional requirements such as performance and/or energy efficiency. The compl...
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| Veröffentlicht in: | Software, practice & experience Jg. 46; H. 2; S. 251 - 287 |
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Bognor Regis
Blackwell Publishing Ltd
01.02.2016
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| Abstract | Summary
The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required functionality, developers must consider various and often conflicting nonfunctional requirements such as performance and/or energy efficiency. The complexity of this process is further exacerbated by the multitude of target architectures and mapping tools. This article describes LARA, an aspect‐oriented programming language that allows programmers to convey domain‐specific knowledge and nonfunctional requirements to a toolchain composed of source‐to‐source transformers, compiler optimizers, and mapping/synthesis tools. LARA is sufficiently flexible to target different tools and host languages while also allowing the specification of compilation strategies to enable efficient generation of software code and hardware cores (using hardware description languages) for hybrid target architectures – a unique feature to the best of our knowledge not found in any other aspect‐oriented programming language. A key feature of LARA is its ability to deal with different models of join points, actions, and attributes. In this article, we describe the LARA approach and evaluate its impact on code instrumentation and analysis and on selecting critical code sections to be migrated to hardware accelerators for two embedded applications from industry. Copyright © 2014 John Wiley & Sons, Ltd. |
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| AbstractList | Summary
The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required functionality, developers must consider various and often conflicting nonfunctional requirements such as performance and/or energy efficiency. The complexity of this process is further exacerbated by the multitude of target architectures and mapping tools. This article describes LARA, an aspect‐oriented programming language that allows programmers to convey domain‐specific knowledge and nonfunctional requirements to a toolchain composed of source‐to‐source transformers, compiler optimizers, and mapping/synthesis tools. LARA is sufficiently flexible to target different tools and host languages while also allowing the specification of compilation strategies to enable efficient generation of software code and hardware cores (using hardware description languages) for hybrid target architectures – a unique feature to the best of our knowledge not found in any other aspect‐oriented programming language. A key feature of LARA is its ability to deal with different models of join points, actions, and attributes. In this article, we describe the LARA approach and evaluate its impact on code instrumentation and analysis and on selecting critical code sections to be migrated to hardware accelerators for two embedded applications from industry. Copyright © 2014 John Wiley & Sons, Ltd. Summary The development of applications for high-performance embedded systems is a long and error-prone process because in addition to the required functionality, developers must consider various and often conflicting nonfunctional requirements such as performance and/or energy efficiency. The complexity of this process is further exacerbated by the multitude of target architectures and mapping tools. This article describes LARA, an aspect-oriented programming language that allows programmers to convey domain-specific knowledge and nonfunctional requirements to a toolchain composed of source-to-source transformers, compiler optimizers, and mapping/synthesis tools. LARA is sufficiently flexible to target different tools and host languages while also allowing the specification of compilation strategies to enable efficient generation of software code and hardware cores (using hardware description languages) for hybrid target architectures - a unique feature to the best of our knowledge not found in any other aspect-oriented programming language. A key feature of LARA is its ability to deal with different models of join points, actions, and attributes. In this article, we describe the LARA approach and evaluate its impact on code instrumentation and analysis and on selecting critical code sections to be migrated to hardware accelerators for two embedded applications from industry. Copyright © 2014 John Wiley & Sons, Ltd. The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required functionality, developers must consider various and often conflicting nonfunctional requirements such as performance and/or energy efficiency. The complexity of this process is further exacerbated by the multitude of target architectures and mapping tools. This article describes LARA, an aspect‐oriented programming language that allows programmers to convey domain‐specific knowledge and nonfunctional requirements to a toolchain composed of source‐to‐source transformers, compiler optimizers, and mapping/synthesis tools. LARA is sufficiently flexible to target different tools and host languages while also allowing the specification of compilation strategies to enable efficient generation of software code and hardware cores (using hardware description languages) for hybrid target architectures – a unique feature to the best of our knowledge not found in any other aspect‐oriented programming language. A key feature of LARA is its ability to deal with different models of join points, actions, and attributes. In this article, we describe the LARA approach and evaluate its impact on code instrumentation and analysis and on selecting critical code sections to be migrated to hardware accelerators for two embedded applications from industry. Copyright © 2014 John Wiley & Sons, Ltd. |
| Author | Coutinho, José G. F. Luk, Wayne Diniz, Pedro C. Gonçalves, Fernando Cardoso, João M. P. Carvalho, Tiago Petrov, Zlatko |
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| References_xml | – reference: Gradecki J, Lesiecki N. Mastering AspectJ: Aspect-oriented Programming in Java. J. Wiley & Sons, Inc.: New York, NY, USA, 2003. – reference: Wand M, Kiczales G, Dutchyn C. A semantics for advice and dynamic join points in aspect-oriented programming. ACM Transactions on Programming Languages and Systems 2004; 26(5):890-910. – reference: Rajan H, Sullivan K. Eos: instance-level aspects for integrated system design. SIGSOFT Software Engr. Notes 2003; 28(5):297-306. – reference: Asher YB, Rotem N. Using memory profile analysis for automatic synthesis of pointers code. ACM Transactions on Embedded Computing Systems 2013; 12 (3), Article 68:21. – reference: Cardoso JMP, Diniz P, Weinhardt M. Compiling for reconfigurable computing: a survey. ACM Computing Surveys (CSUR) 2010; 42(4), Article 13:1-65. – reference: Cardoso JMP, Diniz P, Coutinho JG, Petrov Z (eds.), Compilation and synthesis for embedded reconfigurable systems: an aspect-oriented approach, 1st edition. Springer: New York, NY, USA, 2013. – reference: Cardoso JMP, et al. Controlling a complete hardware synthesis toolchain with LARA aspects. 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The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required... The development of applications for high‐performance embedded systems is a long and error‐prone process because in addition to the required functionality,... Summary The development of applications for high-performance embedded systems is a long and error-prone process because in addition to the required... |
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| SubjectTerms | aspect-oriented programming compilers domain-specific languages embedded systems hardware/software systems instrumenting and profiling monitoring |
| Title | Performance-driven instrumentation and mapping strategies using the LARA aspect-oriented programming approach |
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