A blueprint for system-level performance modeling of software-intensive embedded systems

Hendriks, Martijn; Basten, Twan; Verriet, Jacques; Brassé, Marco; Somers, Lou

doi:10.1007/s10009-014-0340-3

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…Embedded Systems (ES) are highly diverse, ranging from small systems such as wearables in healthcare and intelligent sensors in smart spaces to distributed and complex systems such as automotive and aerospace control systems [1], [2]. Furthermore, embedded software features, size, and complexity are in constant growth [3]. The ES design stays in a competitive scenario with issues about time-to-market, new functionalities, and performance constraints [4].…”

Section: A Motivation and Contextmentioning

confidence: 99%

“…Modeling is used to deal with the ES complexity in design initiatives and to enhance the development of such systems [12]. Higher abstraction levels favor faster and more cost-effective approaches in the design space analysis [13], allowing early estimation based on partial and uncertain information that can guide the development process [3]. Simulation is a way to evaluate different solutions.…”

Section: A Motivation and Contextmentioning

confidence: 99%

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Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation

Betemps¹,

Melo²,

Rahmani³

et al. 2018

2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC)

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High abstraction level models can be used within the system-level simulation to allow rapid evaluations of architectural aspects in early Design Space Exploration (DSE) and direct the development decisions. Further, early DSE is of paramount importance in the specification of future Embedded Systems (ES) and its evaluation for applications with high computing demands and energy restrictions. This paper presents the exploration of Heterogeneous Task-Level Parallelism (HTLP) in a Block-Matching Algorithm (BMA) video coding application. HTLP means the creation and execution of simultaneous threads of kernels defined for different types of Processing Elements (PE) -e.g., CPU and GPU -but all for an equal purpose. We employ a BMA implementation as a case study, and its characteristics are used to explore the HTLP -in particular, its kernels for data preparation, SAD (sum of absolute differences) criteria calculation, and SAD values grouping. For the exploration, a system-level simulation framework (SAVE-htlp) is augmented, being able to support the HTLP. In the performed experiments, SAVE-htlp simulates workload and architecture models and explores 22 settings varying the PE type employed during the tasks' execution and the number of concurrent threads for each kernel. Execution time, performance, energy, and power results show HTLP settings overcoming CPU-only ones as well as those with solely GPUs to process its tasks.

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Section: A Motivation and Contextmentioning

confidence: 99%

Section: A Motivation and Contextmentioning

confidence: 99%

Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation

Betemps¹,

Melo²,

Rahmani³

et al. 2018

2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC)

View full text Add to dashboard Cite

show abstract

“…However, the fact that the full imaging chain was simulated at an abstract level was new in the context of Philips iXR. A similar, recent approach is presented by [Hendriks et al, 2014]. The quantification of the model was mainly based on measurements.…”

Section: Discussionmentioning

confidence: 99%

Collective understanding of system behavior : incorporating simulations in conceptual systems design

Haveman¹

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Uniting Academic Achievements on Performance Analysis with Industrial Needs

Theelen¹,

Hooman

2015

Quantitative Evaluation of Systems

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A blueprint for system-level performance modeling of software-intensive embedded systems

Cited by 10 publications

References 31 publications

Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation

Exploring Heterogeneous Task-Level Parallelism in a BMA Video Coding Application using System-Level Simulation

Collective understanding of system behavior : incorporating simulations in conceptual systems design

Uniting Academic Achievements on Performance Analysis with Industrial Needs

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