Flexible Components for Development of Embedded Systems with GPUs

Campeanu, Gabriel; Carlson, Jan; Sentilles, Séverine

doi:10.1109/apsec.2017.28

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…The concept of flexible software components can be used in order to create software components that can be executed in any of the available processing units. Support for this type of component design has been proposed earlier in the context of GPUs [18]. Flexible software components allow developers to focus on implementing functions, while mechanisms (namely adapters) automatically transfer data between components, taking into consideration the platform specifications.…”

Section: Refactoring Software Componentsmentioning

confidence: 99%

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: Refactoring Software Componentsmentioning

confidence: 99%

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 concept of flexible software components can be used in order to create software components that can be executed in any of the available processing units. Support for this type of component design has been proposed earlier in the context of GPUs [27]. Flexible software components allow developers to focus on implementing functions, while mechanisms (namely adapters) automatically transfer data between components, taking into consideration the platform specifications.…”

Section: Related Workmentioning

confidence: 99%

HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms

Andrade¹,

Benderius²,

Berger³

et al. 2020

Preprint

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Heterogeneous computing is one of the most important computational solutions to meet rapidly increasing demands on system performance. It typically allows the main flow of applications to be executed on a CPU while the most computationally intensive tasks are assigned to one or more accelerators, such as GPUs and FPGAs. The refactoring of systems for execution on such platforms is highly desired but also difficult to perform, mainly due the inherent increase in software complexity. After exploration, we have identified a current need for a systematic approach that supports engineers in the refactoring process-from CPU-centric applications to software that is executed on heterogeneous platforms. In this paper, we introduce a decision framework that assists engineers in the task of refactoring software to incorporate heterogeneous platforms. It covers the software engineering lifecycle through five steps, consisting of questions to be answered in order to successfully address aspects that are relevant for the refactoring procedure. We evaluate the feasibility of the framework in two ways. First, we capture the practitioner's impressions, concerns and suggestions through a questionnaire. Then, we conduct a case study showing the step-by-step application of the framework using a computer vision application in the automotive domain.

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“…The approach presented in [9] aims at enhancing the flexibility in designing component-based applications with GPU capabilities by introducing flexible components that owe functionalities that may be executed either on CPU or GPU. In this way the developer may focus only on implementing the functionality while having a larger design-space to choose from.…”

Section: Flexible Component-based Applications With Gpu Capabilitiesmentioning

confidence: 99%

“…Supplementary to the solution proposed in [9], the authors of [10] underline the fact that the flexibility offered by component-based applications complicates the allocation process; it adds additional complexity (due to undecided CPU or GPU execution) and constraints to be considered (CPUs and GPUs properties). Therefore an optimization of the flexibility offered by the component-based embedded systems is necessary.…”

Section: Flexible Component-based Applications With Gpu Capabilitiesmentioning

confidence: 99%

“…Aging-aware workload management technique/ reconfigure the cluster and scale the heaviness of theembedded GPU [8] CBD: Platform independent components Flexible component/executed on GPU or CPU /grouping/communication via adapters/ adapters generated automatically [4], [9] CBD: Rubus component model -extended…”

Section: Practical Demonstrations Of Flexible Components Versatilitymentioning

confidence: 99%

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Embedded Systems with Component-Based GPU Support: A State of the Art

Miclaus

Petrescu²,

Veșcan

2019

Studia UBB Informatica

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In order to deal with extremely large quantities of information, embedded systems need high capabilities in order to process the whole amount of data in real time. Two trends are present in the field: the usage of boards with Graphics Processing Units (GPUs) and the usage of component-based development (CBD). Components with GPU capabilities have the great advantage to be platform-independent. However, developing embedded systems with GPUs by using CBD was considered until very recently a problem with restricted availability and flexibility. By introducing specific GPU support for CBD in the form of flexible components and by improving their communication, a solution was identified and checked. Present paper aims to present a state-of-the-art and highlights the newest knowledge to date, articulating encountered confronted issues and describing existing solution approaches.

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Flexible Components for Development of Embedded Systems with GPUs

Cited by 6 publications

References 19 publications

Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms

Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms

HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms

Embedded Systems with Component-Based GPU Support: A State of the Art

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