Software Deployment on Heterogeneous Platforms: A Systematic Mapping Study

Andrade, Hugo; Schroeder, Jan; Crnković, Ivica

doi:10.1109/tse.2019.2932665

Cited by 6 publications

(7 citation statements)

References 18 publications

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“…First, we studied the available literature on the topics of software deployment [7] and software architectures [8] for heterogeneous platforms in order to obtain an overview of the research area and identify the challenges, concerns, and gaps in research. In this stage, we identified a number of approaches to realize software architecture when a heterogeneous platform is available.…”

Section: Methodsmentioning

confidence: 99%

“…Then, we iteratively identified the gaps between theory and practice in discussions with multiple partners in industry, capturing their practices, and analyzing their perspectives in trying to meet different challenges [7]. We sketched the first versions of the framework and held multiple discussions among the authors for adjustments.…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, dynamic deployment mechanisms can be created in order to allow different components to be executed depending on the current status of runtime. There is plenty of literature that defines the mapping procedure [7] -most often in selecting particular concerns and defining a cost function, attempting to find its minimum in respect to a given component distribution. There are some approaches that enable the specification of many requirements and/or resource constraints, as well as the communication capacity required for interaction between the components, attempting to find a local optimum for a set of components [10], [11].…”

Section: B Mapping Software and Hardwarementioning

confidence: 99%

“…As identified in a literature reviews [7], [19], there is a large amount of literature addressing heterogeneous computing. In particular, the software deployment stage is highlighted as one of the most challenging aspects of applying this technology.…”

Section: Related Workmentioning

confidence: 99%

“…In particular, the software deployment stage is highlighted as one of the most challenging aspects of applying this technology. Several concerns and approaches were identified in [7], primarily addressing the problems of scheduling, software quality, and software architecture pointing to the challenges in establishing a design that balances the workload between units properly. Moreover, it was mentioned through some studies the importance of a solid communication strategy, as well as the efficient management of memory spaces.…”

Section: Related Workmentioning

confidence: 99%

See 4 more Smart Citations

Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms

Andrade

Crnković

Bosch

2020

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)

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The most important way to achieve higher performance in computer systems is through heterogeneous computing, i.e., by adopting hardware platforms containing more than one type of processor, such as CPUs, GPUs, and FPGAs. Several types of algorithms can be executed significantly faster on a heterogeneous platform. However, migrating CPU-executable software to other types of execution platforms poses a number of challenges to software engineering. Significant efforts are required in such type of migration, particularly for re-architecting and re-implementing the software. Further, optimizing it in terms of performance and other runtime properties can be very challenging, making the process complex, expensive, and errorprone. Therefore, a systematic approach based on explicit and justified architectural decisions is needed for a successful refactoring process from a homogeneous to a heterogeneous platform. In this paper, we propose a decision framework that supports engineers when refactoring software systems to accommodate heterogeneous platforms. It includes the assessment of important factors in order to minimize the risk of recurrent problems in the process. Through a set of questions, practitioners are able to formulate answers that will help in making appropriate architectural decisions to accommodate heterogeneous platforms. The contents of the framework have been developed and evolved based on discussions with architects and developers in the automotive domain.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%