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Real-time operational load monitoring of a composite aerostructure using FPGA-based computing system

Mucha Waldemar

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2024

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Vol. 72, nr 1

art. no. e148251

EN

Operational load monitoring (OLM) is an industrial process related to structural health monitoring, where fatigue of the structure is tracked. Artificial intelligence methods, such as artificial neural networks (ANNs) or Gaussian processes, are utilized to improve efficiency of such processes. This paper focuses on moving such processes towards green computing by deploying and executing the algorithm on low-power consumption FPGA where high-throughput and truly parallel computations can be performed. In the following paper, the OLM process of typical aerostructure (hat-stiffened composite panel) is performed using ANN. The ANN was trained using numerically generated data, of every possible load case, to be working with sensor measurements as inputs. The trained ANN was deployed to Xilinx Artix-7 A100T FPGA of a real-time microcontroller. By executing the ANN on FPGA (where every neuron of a given layer can be processed at the same time, without limiting the number of parallel threads), computation time could be reduced by 70% as compared to standard CPU execution. Series of real-time experiments were performed that have proven the efficiency and high accuracy of the developed FPGA-based algorithm. Adjusting the ANN algorithm to FPGA requirements takes some effort, however it can lead to high performance increase. FPGA has the advantages of many more potential parallel threads than a standard CPU and much lower consumption than a GPU. This is particularly important taking into account potential embedded and remote applications, such as widely performed monitoring of airplane structures.

2

Influence of YARN schedulers on power consumption and processing time for various big data benchmarks

Drypczewski Krzysztof, Proficz Jerzy, Stepnowski Andrzej

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2018

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Vol. 22, No 4

303--312

EN

Climate change caused by human activities can influence the lives of everybody on the planet. The environmental concerns must be taken into consideration by all fields of study includingICT. Green Computing aims to reduce negative effects of IT on the environment while, at the same time, maintaining all of the possible benefits it provides. Several Big Data platforms like Apache Spark or YARN have become widely used in analytics and High-Performance Computing systems due to the reliability and usability of Map Reduce implementations. The authors research the power consumption and energy efficiency of Hadoop YARN schedulers using Apache Spark under three different workloads. The test cases include: sorting large binary files,counting unique words in large text files and processing satellite imagery from the Sentinel-2mission. The presented results show small (2%–11%) but distinct differences in the power consumption of FIFO and FAIR schedulers.

3

Sustainable management of it resources – the problem of e-waste

Chmielarz G.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2017

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z. 104

21--34

EN

The paper presents the most important issues connected with development of a sustainable approach in the IT area. It includes the historical background of sustainable principles application, which ultimate goal has been to reduce the negative impact caused by widespread use of computer infrastructure on the environment. The literature review has been the basis for determining the roots of "green" standards for computer equipment commonly used by all types of organizations. A particular focus of the paper is on the problem of electronic waste disposal, which most of contemporary organizations contribute to, if they use IT infrastructure in their operations. Generally, the goal of the paper is to present the range of the problem causes by e-waste and increase the awareness of organizations in the scope of its collecting, recycling and first of all limiting its amount.

PL

W artykule przedstawiono najważniejsze kwestie związane z rozwojem idei zrównoważonego rozwoju w obszarze IT. Zawarto w nim tło historyczne zastosowania zasad zrównoważonego rozwoju, którego ostatecznym celem jest redukcja negatywnego wpływu powodowanego przez rozpowszechnione wykorzystywanie infrastruktury komputerowej, również w organizacjach, na środowisko naturalne. Bazę do określenia korzeni „zielonych” standardów w dziedzinie sprzętu komputerowego powszechnie wykorzystywanego w organizacjach stanowiła krytyczna analiza literatury. W artykule szczególnie zaakcentowano problem utylizacji odpadów elektronicznych, do powstawania których przyczynia się większość współczesnych organizacji, jeśli tylko wykorzystują one w swoim działaniu infrastrukturę informatyczną. Ogólnie celem artykułu jest przedstawienie skali problemu powodowanego przez odpady elektroniczne oraz podniesienie stopnia świadomości organizacji w zakresie ich zbierania, przetwarzania, a przede wszystkim ograniczenia jego ilości.

4

Mobile Cloud for Parallel and Distributed Green Computing

Siwik L., Kala D., Godzik M., Turek W., Byrski A., Kisiel-Dorohinicki M.

Journal of Telecommunications and Information Technology

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2017

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nr 4

60--70

EN

Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that deﬁnitions and taxonomies do not catch up with so dynamic changes and there is still an ambiguity in deﬁnitions and common understanding of basic ideas and models. This research focuses on Mobile Cloud understood as parallel and distributed system consisting of a collection of interconnected (and virtualized) mobile devices dynamically provisioned and presented as one uniﬁed computing resource. This paper focuses on the mobile green computing cloud applied for parallel and distributed computations and consisting of outdated, abandoned or no longer needed smartphones being able to set up a powerful computing cluster. Besides showing the general idea and background, an actual computing cluster is constructed and its scalability and efficiency is checked versus the results obtained from the virtualized set of smartphones. All the experiments are performed using a dedicated software framework constructed in order to leverage the nolonger-needed smartphones, creating a computing cloud.