標(biāo)題: Titlebook: High Performance Computing in Clouds; Moving HPC Applicati Edson Borin,Lúcia Maria A. Drummond,Philippe Olivi Book 2023 The Editor(s) (if a [打印本頁(yè)] 作者: 熱愛(ài) 時(shí)間: 2025-3-21 17:37
書(shū)目名稱(chēng)High Performance Computing in Clouds影響因子(影響力)
書(shū)目名稱(chēng)High Performance Computing in Clouds影響因子(影響力)學(xué)科排名
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書(shū)目名稱(chēng)High Performance Computing in Clouds網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)High Performance Computing in Clouds被引頻次
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書(shū)目名稱(chēng)High Performance Computing in Clouds讀者反饋
書(shū)目名稱(chēng)High Performance Computing in Clouds讀者反饋學(xué)科排名
作者: 清澈 時(shí)間: 2025-3-21 21:04 作者: Condyle 時(shí)間: 2025-3-22 00:50 作者: erythema 時(shí)間: 2025-3-22 04:44
Walisson P. Sousa,Filipe M. Soares,Rafaela C. Brum,Marco Figueiredo,Alba C. M. A. Melo,Maria Clicia ructural parameters is assessed; moreover, a cost–benefit analysis is also encompassed, showing how the developed solution might be globally more advantageous from an energy point of view, reaching up to 10x power saving if compared with standard alternatives.作者: 允許 時(shí)間: 2025-3-22 10:43
Felipe Albuquerque Portella,Fabio Moreira de Souzaructural parameters is assessed; moreover, a cost–benefit analysis is also encompassed, showing how the developed solution might be globally more advantageous from an energy point of view, reaching up to 10x power saving if compared with standard alternatives.作者: 兩棲動(dòng)物 時(shí)間: 2025-3-22 16:33 作者: intrude 時(shí)間: 2025-3-22 19:40 作者: Embolic-Stroke 時(shí)間: 2025-3-23 01:16 作者: Boycott 時(shí)間: 2025-3-23 04:47 作者: 啜泣 時(shí)間: 2025-3-23 07:56 作者: Coronation 時(shí)間: 2025-3-23 12:46 作者: 萬(wàn)神殿 時(shí)間: 2025-3-23 14:03 作者: 突襲 時(shí)間: 2025-3-23 18:02
Rodrigo da Rosa Righi,Guilherme Galante,Vinicius Facco Rodrigues,Heonyoung Yeom,Harald Koestler,Madh 150 and 200 frames of a video discharge for three different grains using: CPU and PYNQ-Z1 implementations with a simple image processing at pre-processing level, and CPU implementation using neural network. Execution times are measured and the differences between the involved technologies are discussed.作者: Trabeculoplasty 時(shí)間: 2025-3-24 01:09
Deploying and Configuring Infrastructured infrastructure elements for HPC workloads and how they can be instantiated and managed. It also discusses the advantages and drawbacks of using different forms for performing this process and which aspects must be observed by the user before choosing one of them.作者: Vsd168 時(shí)間: 2025-3-24 06:03 作者: 無(wú)關(guān)緊要 時(shí)間: 2025-3-24 06:30
Claude Tadonkit complex behaviors (fights, thefts, attacks). To solve these challenges, the use of ontologies has been proposed as a tool to reduce this gap between low and high level information. In this work, we present the foundations of an ontology to be used in an intelligent video surveillance system.作者: 滴注 時(shí)間: 2025-3-24 14:28 作者: 枕墊 時(shí)間: 2025-3-24 18:12 作者: 仇恨 時(shí)間: 2025-3-24 22:04 作者: 壯觀的游行 時(shí)間: 2025-3-25 03:10 作者: Repatriate 時(shí)間: 2025-3-25 06:26 作者: 時(shí)代錯(cuò)誤 時(shí)間: 2025-3-25 09:00 作者: GNAW 時(shí)間: 2025-3-25 13:22 作者: adumbrate 時(shí)間: 2025-3-25 18:13
tion and communication technologies in the agricultural industry. This paper reports on the main findings acquired through the deployment and experimental evaluation of IoT technologies in a vineyard. Our results also provide insight into future directions on the use of IoT technologies in precision viticulture.作者: 欺騙世家 時(shí)間: 2025-3-25 23:58
José E. Moreira (Deep Learning) algorithms achieving best performance in terms of accuracy, F1, Recall and precision. The proposed technique has been implemented on four low cost embedded platform and compared respect the frame per second that they can achieve in real-time.作者: OREX 時(shí)間: 2025-3-26 03:40 作者: canvass 時(shí)間: 2025-3-26 04:17 作者: 可卡 時(shí)間: 2025-3-26 10:43 作者: 噱頭 時(shí)間: 2025-3-26 12:47
What Do HPC Applications Look Like?oud systems, beside the typical . characteristic, applies to hardware configuration and tasks scheduling associated to specific applications. High-performance computing (HPC), which aims at offering a fast computing solution from the machines and the programming standpoints, has also adopted the clo作者: nonchalance 時(shí)間: 2025-3-26 19:12
Deploying and Configuring Infrastructureexecute the desired workload. This can be done in several ways, using different tools and paradigms. This chapter provides an overview of the key cloud infrastructure elements for HPC workloads and how they can be instantiated and managed. It also discusses the advantages and drawbacks of using diff作者: resuscitation 時(shí)間: 2025-3-26 23:35
Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers may appear unusual at first glance. Indeed, we sketch the problems, issues, and solutions when the effort is put into the HPC scheduler. We mean that the HPC applications are not rewritten, but the HPC scheduler has been cloudified. Thus, it is now available as any other Cloud service, on-demand. T作者: 暗指 時(shí)間: 2025-3-27 02:46
Designing Cloud-Friendly HPC Applicationsntered on database usage. We are experiencing several cloud providers exploiting bottleneck performance bypass through optimized software and hardware infrastructures. With this in mind, each time more, we see researchers migrating their applications from on-premise to cloud resources, so enabling c作者: 反應(yīng) 時(shí)間: 2025-3-27 08:25
Optimizing Infrastructure for MPI Applicationsof a collection of tasks that exchange data. With the advent of cloud computing, there is increased interest in running MPI parallel applications on the cloud. The elastic characteristics of the cloud, with the ability to allocate vast computational resources on demand, are a good match for large pa作者: 角斗士 時(shí)間: 2025-3-27 13:29 作者: 明智的人 時(shí)間: 2025-3-27 16:34 作者: conspicuous 時(shí)間: 2025-3-27 18:24
Avoiding Resource Wastagerms of rapid access to elastic and diversified computing resources, economies of use, and release the users from deploying and maintaining physical infrastructures. Nevertheless, users are responsible for managing the resources rented from clouds to run their workloads, a task that becomes even more作者: 涂掉 時(shí)間: 2025-3-28 00:43
Biological Sequence Comparison on Cloud-Based GPU Environment Algorithms that solve this problem with optimal solutions are, however, computationally intensive and usually require parallel processing to provide reasonable performance. In this chapter, we propose to explore the parallelism provided by cloud computing to execute a biological sequence comparison作者: 踉蹌 時(shí)間: 2025-3-28 05:02
Reservoir Simulation in the Cloudies, reservoir engineer teams use simulators daily to estimate hydrocarbon reserves over time, optimize well placement, or evaluate the best recovery method, among many other studies. In combination with seismic processing, it is responsible for the largest HPC needs of the industry. Therefore, it i作者: FLING 時(shí)間: 2025-3-28 07:07
Cost Effective Deep Learning on the Cloudd computing has become a very attractive and increasingly common option for running such workloads, offering several machine configurations and specialized services. With this in mind, this chapter addresses training deep learning models in the cloud, elucidating the key components and aspects neces作者: Living-Will 時(shí)間: 2025-3-28 13:46
oncept of television is an entire ecosystem in which all the elements of HW, SW and broadcast channels intermingle to provide a new version of entertainment. This article will review real cases of how mobile devices can become part of this new ecosystem. It presents a set of applications that enhanc作者: 未開(kāi)化 時(shí)間: 2025-3-28 16:37
Edson Borin,Lúcia Maria A. Drummond,Jean-Luc Gaudiot,Alba Melo,Maicon Melo,Philippe O. A. Navauxlogies are incorporated into organisations’ processes and on the cyber threat landscape. The pandemic led society and institutions to a global accelerated digitalisation, and in doing so reshaped the landscape in which cybercrime and cybersecurity operate (Horgan et al. in J Crim Psychol 11:222–239,作者: 小步舞 時(shí)間: 2025-3-28 20:16
grid is evolving towards a distributed architecture called Smart Grid (SG). Moreover, new communication paradigms, such as the Internet of Things (IoT), are being applied to the SG providing advanced communication capabilities for management and control. In this context, a microgrid is a self-sustai作者: expire 時(shí)間: 2025-3-29 01:25
Maicon Melo Alvesthat derive from human observer, such as verbal rating and simple descriptive scales. However, these methods are limited in objectively quantifying typical behaviour of stress. We propose to use accelerometer data from smartphones to objectively quantify stress levels. Used data was collected in rea作者: 業(yè)余愛(ài)好者 時(shí)間: 2025-3-29 05:25 作者: FUSE 時(shí)間: 2025-3-29 10:36
llected by sensors deployed in the fields together with other sources of information and facilities, farmers will have at their disposal a set of tools allowing them to make informed decisions on the day-to-day operation. Since 2005, a multidisciplinary team of researchers from the Albacete Research作者: Dedication 時(shí)間: 2025-3-29 15:05
Edson Borin,Otávio O. Napoliof application domains, from automotive to space and from heThis book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment and society at large. A wide spectrum of application domains are covered, from automotive to space and from he作者: Narcissist 時(shí)間: 2025-3-29 18:10
Christophe Cérin,Nicolas Grenèche,Tarek Menouergorithm performs a frame enhancement through neural networks and the particle image velocimetry detects seed motion in the hopper. We process 50, 100, 150 and 200 frames of a video discharge for three different grains using: CPU and PYNQ-Z1 implementations with a simple image processing at pre-proce作者: Minutes 時(shí)間: 2025-3-29 21:49
Rodrigo da Rosa Righi,Guilherme Galante,Vinicius Facco Rodrigues,Heonyoung Yeom,Harald Koestler,Madhgorithm performs a frame enhancement through neural networks and the particle image velocimetry detects seed motion in the hopper. We process 50, 100, 150 and 200 frames of a video discharge for three different grains using: CPU and PYNQ-Z1 implementations with a simple image processing at pre-proce作者: 皮薩 時(shí)間: 2025-3-30 02:55
Cristiano A. Künas,Matheus S. Serpa,Philippe O. A. Navauxhed by visitors. However, such techniques require expensive equipment and precise 3D scanning, also they are unsuitable for rendering 2D paintings as 3D models. In order to address these limitations, we developed a scalable, low-cost solution to produce braille-like readable 3D models of 2D painting作者: 前奏曲 時(shí)間: 2025-3-30 07:47 作者: 天文臺(tái) 時(shí)間: 2025-3-30 10:28 作者: 蒼白 時(shí)間: 2025-3-30 15:43
Alexandre C. Sena,Cristina Boeres,Luan Teylo,Lúcia Maria A. Drummond,Vinod E. F. Rebelloer and energy applications, such as electric vehicles. Indeed, at least 80% of the available capacity is still available and can be reused in other applications that require lower energy and power densities, such as in stationary energy storage systems. Although this concept can produce environmenta作者: conduct 時(shí)間: 2025-3-30 19:23
Rafaela Brum,Luan Teylo,Luciana Arantes,Pierre Sensontrolled is the moth lobesia botrana, which mainly attacks the vineyard. We present an automatic pest classifier based on machine learning, considering resource-constrained devices in IoT systems. Transfer learning and an ensemble of compression techniques are used to reduce the size of the classif
