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Accelerating legacy applications with spatial computing devices

JOURNAL OF SUPERcomputing 2023年第7期79卷 7461-7483页

作者： Savio, Paolo Scionti, Alberto Vitali, Giacomo Viviani, Paolo Vercellino, Chiara Terzo, Olivier Nguyen, Huy-Nam Magarielli, Donato Spano, Ennio Marconcini, Michele Poli, Francesco LINKS Fdn Via PG Boggio 61 I-10138 Turin Italy ATOS Rue Provence F-38130 Echirolles France Via Maggio 99 I-10040 Rivalta Di Torino Italy Univ Florence Dept Ind Engn Via Santa Marta 3 I-50139 Florence Italy

Heterogeneous computing is the major driving factor in designing new energy-efficient high-performance computing systems. Despite the broad adoption of GPUs and other specialized architectures, the interest in spatial architectures like field-programmable gate arrays (FPGAs) has grown. While combining high performance, low power consumption and high adaptability constitute an advantage, these devices still suffer from a weak software ecosystem, which forces application developers to use tools requiring deep knowledge of the underlying system, often leaving legacy code (e.g., Fortran applications) unsupported. By realizing this, we describe a methodology for porting Fortran (legacy) code on modern FPGA architectures, with the target of preserving performance/power ratios. Aimed as an experience report, we considered an industrial computational fluid dynamics application to demonstrate that our methodology produces synthesizable OpenCL codes targeting Intel Arria10 and Stratix10 devices. Although performance gain is not far beyond that of the original CPU code (we obtained a relative speedup of x 0.59 and x 0.63, respectively, for a single optimized main kernel, while only on the Stratix10 we achieved x 2.56 by replicating the main optimized kernel 4 times), our results are quite encouraging to drawn the path for further investigations. This paper also reports some major criticalities in porting Fortran code on FPGA architectures.

关键词： FPGA High-performance computing spatial computing

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Innovative food supply chain through spatial computing technologies: A review

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COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY 2024年第6期23卷 e70055页

作者： Ma, Peihua Jia, Xiaoxue Gao, Mairui Yi, Zicheng Tsai, Shawn He, Yiyang Zhen, Dongyang Blaustein, Ryan A. Wang, Qin Wei, Cheng-I. Fan, Bei Wang, Fengzhong Univ Maryland Coll Agr & Nat Resources Dept Nutr & Food Sci College Pk MD 20742 USA ARS Beltsville Agr Res Ctr USDA Beltsville MD USA Univ Maryland A James Clark Sch Engn Dept Civil & Environm Engn College Pk MD 20742 USA Chinese Acad Agr Sci Minist Agr & Rural Affairs Key Lab Agroprod Proc Beijing Peoples R China

The global food supply chain faces significant challenges related to inefficiencies, quality variability, and traceability issues, all of which contribute to food waste and consumer distrust. spatial computing (SC) technologies, including augmented reality (AR), virtual reality (VR), and digital twins, offer promising solutions by enhancing precision agriculture, logistics, manufacturing, and retail operations. This review explores SC's potential across the entire food supply continuum, emphasizing improvements in resource management, supply chain transparency, and consumer engagement. Despite its promise, the widespread adoption of SC is limited by technical challenges and a lack of standardized protocols. The findings suggest that while SC has the potential to revolutionize the food supply chain by improving sustainability, efficiency, and safety, further interdisciplinary research and collaboration are essential to fully unlock its capabilities.

关键词： augmented reality digital twin food supply chain spatial computing virtual reality

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OSCAR: a framework to integrate spatial computing ability and data aggregation for emergency management of public health

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GEOINFORMATICA 2018年第2期22卷 383-410页

作者： Guo, Danhuai Zhu, Yingqiu Yin, Wenwu Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Chinese Ctr Dis Control & Prevent Beijing Peoples R China

spatial computing has emerged a critical issue in emergency management of public health. Due to the complexity of spatial data structure and disperse character of spatio-temporal data, when emergency event of public health occurs, it is difficult to get the needed data and analysis it then make quick decision in a short time. In this paper, OSCAR: an Open spatial computing and data Resource platform were introduced including its components, framework, elements and two implementations. OSCAR provides a data resource aggregation platform to retrieve data from official statistic agencies through data service and database, scrawl related data from BBS and social media and mirror the environment data from earth observation data sites. All the dataset are arranged in data cubes according to their spatial and temporal dimensions. This mechanism ensures the feasibility and timeliness of time-sequence analysis of specific regions. The algorithms of spatial computing of public health are usually complicated and depend on particular computing environment, which is usually not default configuration of computer of nowadays. OSCAR deploys a series of computation images in a cloud-computing environment. The computation ability can be extended on-demand and thus the time of the computation can be shortened and limited in several minutes when it is needed. The two implementation of human rabies of China and H7N9 in China show the convenience of our platform.

关键词： spatial computing Data integration Emergency management Cloud computing Public health Framework

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spatial computing as intensional data parallelism

Spatial computing as intensional data parallelism

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作者： Spicher, Antoine Michel, Olivier Giavitto, Jean-Louis LACL Université Paris XII - Paris Est 94010 Créteil cedex France IBISC CNRS Université d'Evry 91025 Evry cedex France

ISBN: (纸本)9780769542294

In this paper, we show that various concepts and tools developed in the 90's in the field of data-parallelism provide a relevant spatial programming framework. It allows high level spatial computation specifications to be translated into efficient low-level operations on processing units. We provide some short examples to illustrate this statement. © 2010 IEEE.

关键词： Collection Data flow Data parallelism Data-fields Declarative definition Intensionnal programming spatial computing Stream

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From GPS and virtual globes to spatial computing-2020

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GEOINFORMATICA 2015年第4期19卷 799-832页

作者： Shekhar, Shashi Feiner, Steven Aref, Walid G. Univ Minnesota Minneapolis MN 55455 USA Columbia Univ New York NY 10027 USA Purdue Univ W Lafayette IN 47907 USA

spatial computing is a set of ideas, solutions, tools, technologies, and systems that transform our lives with a new prospect of understanding, navigating, visualizing and using locations. In this community whitepaper, we present a perspective on the changing world of spatial computing, research challenges and opportunities and geoprivacy issues for spatial computing. First, this paper provides an overview of the changing world of spatial computing. Next, promising technologies that resulted from the integration of spatial computing in the everyday lives of people is discussed. This integration results with promising technologies, research challenges and opportunities and geoprivacy issues that must be addressed to achieve the potential of spatial computing.

关键词： spatial computing GPS Navigation Google Maps Spatio-temporal Future directions Trends

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A Movable Architecture for Robust spatial computing

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COMPUTER JOURNAL 2013年第12期56卷 1450-1468页

作者： Ackley, David H. Cannon, Daniel C. Williams, Lance R. Univ New Mexico Albuquerque NM 87131 USA

For open-ended computational growth, we argue that: (i) instead of hardwiring and hiding component spatial relationships, computer architecture should soften and expose them;and (2) instead of relegating reliability to hardware, robustness must climb the computational stack toward the end users. We suggest that eventually all truly large-scale computers will be robust spatial computers-even if intended neither for spatial tasks nor harsh environments. This paper is an extended introduction for the spatial computing community to the Movable Feast Machine (MFM), a computing model in the spirit of an object-oriented asynchronous cellular automata. We motivate the approach and then present the model, touching on robustness mechanisms such as redundancy, compartmentalization and homeostasis. We provide simulation data from prototype movable elements such as self-healing wire for data transport and movable 'membrane' rings for spatial segregation, and illustrate how some larger computations like sorting or evaluating a lambda expression can be reconceived for robustness and movability within a spatial computing architecture.

关键词： spatial computing computer architecture robustness movable feast machine globally asynchronous locally synchronous functional programming

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Utilisation of extended reality for preprocedural planning and education in anaesthesiology: a practical guide for spatial computing

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BRITISH JOURNAL OF ANAESTHESIA 2024年第6期132卷 1342-1344页

作者： Rubin, John E. Shanker, Akshay Berman, Alexandra B. Pandian, Balaji Jotwani, Rohan NewYork Presbyterian Weill Cornell Med Dept Anesthesiol New York NY 10065 USA

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Dots - An Inclusive Natural User Interfaces (NUI) for spatial computing 22

Dots - An Inclusive Natural User Interfaces (NUI) for Spatia...

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22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI)

作者： Gong, Weilun Xiao, Lan Wang, Xiaohui Lee, Chang Hee Imperial Coll London London England Royal Coll Art London England

ISBN: (纸本)9781450380522

The rise of ubiquitous computing and pervasive technology like Mixed Reality (MR) and the Internet of Things (IoT) causes the user interface starts to shift from the touch screens to the surrounding environment. However, the inclusive design has not adequately introduced the accessibility of these emerging technologies to people with physical disability. In this context, a new approach for these people seems necessary in relation to interface design for the sake of accessibility. Unlike traditional inclusive design where an object or device need to embrace different types of users, here we question whether users can adapt to one flexible and customizable system. In this paper, we present an "inclusive" Natural User Interface (NUI), which enables people with physical disabilities to interact with the spatial computing environment.

关键词： Inclusive design wearable devices natural user interface spatial computing assistive technology

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Mixed Reality spatial computing in a Remote Learning Classroom 20

Mixed Reality Spatial Computing in a Remote Learning Classro...

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ACM Symposium on spatial User Interaction (SUI)

作者： Akers, John Zimmermann, Joelle Trutoiu, Laura Schowengerdt, Brian Kemelmacher-Shlizerman, Ira Univ Washington Seattle WA 98195 USA Mag Leap Los Angeles CA USA Mag Leap Seattle WA USA

ISBN: (纸本)9781450379434

We present a case study on the use of mixed reality (MR) spatial computing in a fully remote classroom. We conducted a 10-week undergraduate class fully online, using a combination of traditional teleconferencing software and MR spatial computing (Magic Leap One headsets) using an avatar-mediated social interaction application (spatial). The class culminated in a virtual poster session, using spatial in MR to present project results, and we conducted a preliminary investigation of students experiences via interviews and questionnaires. Students reported that they had a good experience using MR for the poster session and that they thought it provided advantages over 2D video conferencing. Particular advantages cited were a stronger sense that they were in the presence of other students and instructors, an improved ability to tell where others were directing their attention, and a better ability to share 3D project content and collaborate.

关键词： spatial computing remote learning classroom mixed reality virtual reality augmented reality

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The Pop-Up Metaverse: A Multi-User, Multi-Tasking spatial computing Environment for Collaborative spatial Problem-Solving.

The Pop-Up Metaverse: A Multi-User, Multi-Tasking Spatial Co...

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CHI Conference on Human Factors in computing Sytems (CHI)

作者： Reynolds, Benjamin Hobin, James Cao, Yuanzhi Klaudiny, Martin Dangond, Daniel Xie, Kaize Theodosiou, Keranie de Leeuw, Rik Kashalkar, Shiva Heun, Valentin PTC Real Lab Boston MA 02210 USA

ISBN: (纸本)9798400703317

We introduce the Pop-Up Metaverse, an innovative web-based system seamlessly blending spatial computing with 3D visualization to catalyze collaborative problem-solving in the Industrial Metaverse. The workflow commences with a local user swiftly scanning the environment using a LiDAR-equipped iPhone/iPad, generating a baseline mesh model. Elevating visual fidelity, the system employs the state-of-the-art 3D reconstruction technique, Gaussian-splatting, for captivating photorealistic effects. This enriched 3D canvas becomes a hub for multi-user collaboration, emphasizing the Pop-Up nature facilitated by web technology-no installations required. Key features encompass Remote Assistance, enabling real-time expert guidance within the 3D scene;Human Motion Recorder, scrutinizing movements and postures in recorded human activity;and spatial Analytics, meticulously tracking environmental changes over time. Ensuring accessibility, remote participation mandates only a web browser, significantly reducing entry barriers to the metaverse experience. The Pop-Up Metaverse empowers a workflow tailored for solving spatial problems by seamlessly uniting the physical and digital realms.

关键词： Pop-Up Metaverse spatial computing Remote Collaboration

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