標題: Titlebook: In Situ Visualization for Computational Science; Hank Childs,Janine C. Bennett,Christoph Garth Conference proceedings 2022 The Editor(s) ( [打印本頁] 作者: lexicographer 時間: 2025-3-21 19:19
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作者: 我不死扛 時間: 2025-3-21 21:34 作者: conifer 時間: 2025-3-22 03:40 作者: 使熄滅 時間: 2025-3-22 04:54 作者: 舉止粗野的人 時間: 2025-3-22 10:12 作者: 誘拐 時間: 2025-3-22 15:29
Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statisticsties. Most of the time, the input parameters of a simulation are modeled as random variables, then simulations are run a (possibly large) number of times with input parameters varied according to a specific design of experiments. Uncertainty quantification for numerical simulations is a hard computa作者: myriad 時間: 2025-3-22 20:17 作者: Gesture 時間: 2025-3-22 21:32
Parameter Adaptation In Situ: Design Impacts and Trade-Offs different use cases are analyzed with respect to configuration changes. First, the performance impact of load balancing and resource allocation variants on both simulation and visualization is investigated using the MegaMol framework. Its loose coupling scheme and architecture enable minimally inva作者: 分開如此和諧 時間: 2025-3-23 04:15
Resource-Aware Optimal Scheduling of In Situ Analysisis needs to be done in a way such that the simulation throughput is minimally impacted and the analysis output is available immediately within desired intervals. We describe the formulation of optimal resource allocation for simulation and in situ analysis computations as constrained integer linear 作者: 天文臺 時間: 2025-3-23 07:55
Leveraging Production Visualization Tools In Situtu is a paradigm shift for large-scale visualization, much of the same algorithms and operations apply regardless of whether the visualization is run post hoc or in situ. Thus, there is a great benefit to taking the large-scale code originally designed for post hoc use and leveraging it for use in s作者: 祖?zhèn)髫敭a(chǎn) 時間: 2025-3-23 11:44
The Adaptable IO System (ADIOS)ucing and consuming data through different mediums (storage, memory, network) for various application scenarios. ADIOS engines exist to write/read files on a storage system, to couple independent simulations together or to stream data from a simulation to analysis and visualization tools via the com作者: Discrete 時間: 2025-3-23 17:57
Ascent: A Flyweight In Situ Library for?Exascale Simulationsary’s focal points: minimizing encumbrance on simulation codes and enabling diverse and powerful capabilities. The chapter then describes Ascent’s abstractions, interface, and design. It concludes with success stories that highlight its capabilities: in situ visualization of a 97.8 billion element i作者: 陪審團每個人 時間: 2025-3-23 18:24 作者: exquisite 時間: 2025-3-23 23:56
In Situ Solutions with CinemaSciencend hybrid approaches for data processing. With data extracts that include metadata, images, meshes, and other data types, Cinema databases generated in situ are a central component of post hoc analysis workflows. These workflows support visualization and exploration of data, verification and validat作者: Classify 時間: 2025-3-24 04:41
Deep Learning-Based Upscaling for In Situ Volume Visualization recently emerged as an interesting approach that can supplement existing in situ volume visualization techniques. By upscaling we mean the spatial or temporal reconstruction of a signal from a reduced representation that requires less memory to store and sometimes even less time to generate. The co作者: 邊緣帶來墨水 時間: 2025-3-24 10:32 作者: SHRIK 時間: 2025-3-24 14:00 作者: PANEL 時間: 2025-3-24 14:57 作者: Immunotherapy 時間: 2025-3-24 20:08
Ayan Biswas,Soumya Dutta,Terece L. Turton,James Ahrense keywords. A user is satisfied if it finds the item of its choice and the system benefits, otherwise the user explores an item from the recommended list. Usually when the user explores an item, it picks an item that is nearest to its interest from the list. While the user explores an item, the syst作者: 成績上升 時間: 2025-3-25 00:24
Shaomeng Li,John Clyne,Hank Childs partition being controlled by a single physical controller, running all SDN applications. However, topological partitioning is limited by the fact that (i) performance of latency-sensitive (e.g., monitoring) SDN applications associated with a given partition may be impacted by co-located compute-in作者: Sinus-Rhythm 時間: 2025-3-25 04:59 作者: 沖突 時間: 2025-3-25 07:51 作者: 鎮(zhèn)壓 時間: 2025-3-25 14:34
the reader understand the materials well.Includes supplementThis book is written as a very concise introduction for students taking a first course in communication systems. It provides the reader with fundamentals of digital communication systems and disseminates the essentials needed for the unders作者: 自制 時間: 2025-3-25 17:13 作者: fulmination 時間: 2025-3-25 21:29
Orcun Yildiz,Matthieu Dreher,Tom Peterkan-IP communication systems and juxtaposing them with IP-based communication. A detailed examination of the merits and drawbacks of non-IP communication ensues. Moreover, the chapter delves into the realm of security issues inherent in non-IP-based IoT communication. In this context, we delve into th作者: 顛簸地移動 時間: 2025-3-26 01:46
Steffen Frey,Valentin Bruder,Florian Frie?,Patrick Gralka,Tobias Rau,Thomas Ertl,Guido Reinaion (LTE) wireless data communications standard deployment. In fact, an efficient interoperability between these systems is crucial to increase safety, reduce maintenance costs and offer new services to passengers. Cognitive Radios (CRs) have been selected as promised alternative to answer all previ作者: panorama 時間: 2025-3-26 06:03 作者: 灌溉 時間: 2025-3-26 11:19
orks (VANETs), since routing process uses link quality related metrics based on neighbour information for making routing decisions. The Expected Transmission Count (ETX) is the most salient metric that assesses the link quality for wireless ad hoc and mesh networks. Its estimation varies according t作者: Flu表流動 時間: 2025-3-26 15:23 作者: 存心 時間: 2025-3-26 16:58
David Pugmire,Norbert Podhorszki,Scott Klasky,Matthew Wolf,James Kress,Mark Kim,Nicholas Thompson,Jeorks (VANETs), since routing process uses link quality related metrics based on neighbour information for making routing decisions. The Expected Transmission Count (ETX) is the most salient metric that assesses the link quality for wireless ad hoc and mesh networks. Its estimation varies according t作者: 感激小女 時間: 2025-3-26 23:56 作者: Opponent 時間: 2025-3-27 03:54
E. Wes Bethel,Burlen Loring,Utkarsh Ayachit,David Camp,Earl P. N. Duque,Nicola Ferrier,Joseph Insley number of transmissions and the communication overhead can be reduced significantly. Particularly for applications which require periodic dissemination of information into a large region, aggregation becomes prerequisite. Let us consider an example of self-organized infrastructure less traffic info作者: DIS 時間: 2025-3-27 07:05
David H. Rogers,Soumya Dutta,Divya Banesh,Terece L. Turton,Ethan Stam,James Ahrensible by empowering on-board infrastructure as this enhances operational efficiency while reducing cost. If a broadband technology is made available in a dynamic train environment that could address critical signaling and control system requirements as well as empowers the train passengers - with on-作者: 神圣不可 時間: 2025-3-27 11:40
re exchanged. Smart analysis of this collected data could be achieved for many purposes: traffic prediction, driver profile detection, anomaly detection, etc. Anomaly detection is an important issue for road operators. An anomaly on roads could be caused by various reasons: potholes, obstacles, weat作者: GEAR 時間: 2025-3-27 14:16 作者: obstruct 時間: 2025-3-27 19:42 作者: 四海為家的人 時間: 2025-3-28 00:59
Conference proceedings 2022ion is a?processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to?access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it?comes to作者: 車床 時間: 2025-3-28 03:28
Unlocking Large Scale Uncertainty Quantification with In Transit Iterative Statisticsrk that computes in transit statistical quantities of interest. Melissa currently implements the on-the-fly computation of the statistics necessary for the realization of large scale uncertainty quantification studies: moment-based statistics (mean, standard deviation, higher orders), quantiles, Sobol’ indices, and threshold exceedance.作者: NEXUS 時間: 2025-3-28 06:40
The Adaptable IO System (ADIOS)escription for the ADIOS framework and the abstractions provided. We demonstrate the capabilities of the ADIOS framework using a number of examples, including strong coupling of simulation codes, in situ visualization running on a separate computing cluster, and streaming of experimental data between Asia and the United States.作者: muffler 時間: 2025-3-28 13:53
Ascent: A Flyweight In Situ Library for?Exascale Simulationstractions, interface, and design. It concludes with success stories that highlight its capabilities: in situ visualization of a 97.8 billion element inertial confinement fusion simulation using 16,384 GPUs, delivering radiography capabilities for a Kelvin-Helmholtz simulation, and native rendering of higher-order elements.作者: 左右連貫 時間: 2025-3-28 15:34 作者: 星球的光亮度 時間: 2025-3-28 19:11 作者: 用樹皮 時間: 2025-3-29 01:53 作者: 序曲 時間: 2025-3-29 07:01
Resource-Aware Optimal Scheduling of In Situ Analysistimization problem to maximize the number of online analyses and minimize overall runtime, subject to resource constraints such as I/O bandwidth, network bandwidth, rate of computation and available memory. We also demonstrate the effectiveness of our approach through real application case studies on supercomputers.作者: 法律的瑕疵 時間: 2025-3-29 08:12 作者: Digitalis 時間: 2025-3-29 13:22
Sampling for Scientific Data Analysis and Reductionar value, local smoothness etc.) and multivariate association among scalar values to determine the importance of a location. For temporal sampling, changes in the local and global properties across time steps are taken into account as importance criteria. In this chapter, spatial sampling approaches作者: tympanometry 時間: 2025-3-29 16:47 作者: 進入 時間: 2025-3-29 23:29
Exploratory Time-Dependent Flow Visualization via In Situ Extracted Lagrangian Representationsdiscussed. The chapter then considers post hoc exploration using the Lagrangian representation, as well as the corresponding challenges involved. Finally, the chapter concludes with a qualitative evaluation to demonstrate the efficacy of the technique and a discussion of the current state of the art作者: Connotation 時間: 2025-3-30 02:04
Decaf: Decoupled Dataflows for In Situ Workflowsic integrity during data redistribution, (ii) flow control designed to prevent overflows in the communication channels between tasks, and (iii) a data contract mechanism that allows users to specify the required data in the parallel communication of the workflow tasks. Decaf has been used in a varie作者: chemical-peel 時間: 2025-3-30 05:02
Parameter Adaptation In Situ: Design Impacts and Trade-Offsor remote visualization allows a user to monitor the progress of a simulation and to steer visualization parameters. Compression settings are adapted dynamically based on predictions via convolutional neural networks across different parts of images to achieve high frame rates for high-resolution di作者: 值得 時間: 2025-3-30 09:47 作者: Badger 時間: 2025-3-30 12:39
The SENSEI Generic , Interface: Tool and Processing Portability at Scalee a diversity of tools at scale, tools that include Libsim, Catalyst, Ascent, as well as user-defined methods written in C++ or Python. SENSEI has been shown to scale to greater than 1M-way concurrency on HPC platforms, and provides support for a rich and diverse collection of common scientific data作者: TEM 時間: 2025-3-30 17:23 作者: 小臼 時間: 2025-3-30 21:19
