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检索条件"任意字段=Workshop on Application Models and Programming Tools for Ubiquitous Computing"

共 85 条记录，以下是61-70 订阅

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The 18th Heterogeneity in computing workshop (HCW 2009)

The 18th Heterogeneity in Computing Workshop (HCW 2009)

引用

International Symposium on Parallel and Distributed Processing (IPDPS)

The pervasive use of networks and the Internet has led the number of connected computing resources to grow tremendously, thus creating opportunity and need for heterogeneous computing systems. Furthermore, heterogeneity also is present in emerging computer architectures. In this context, issues of interest to HCW include but are not limited to: parallel and distributed computing programming paradigms and tools, resource discovery and management, task and communication scheduling, task coordination and workflow, performance evaluation and management, heterogeneous cluster computing, heterogeneous computer architectures, grid computing, peer-to-peer computing, ubiquitous computing, fault tolerance, application case studies, and control and use of heterogeneous multi-cores.

关键词： Conferences Data mining Distributed processing Educational institutions Book reviews Probability density function Parallel processing

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Ambient computing applications: an experience with the SPREAD approach

Ambient computing applications: an experience with the SPREA...

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： P. Couderc M. Banatre INRIA Rennes / IRISA Campus Universitaire de Beaulieu France

Today, we assist to the explosive development of mobile computing devices like PDAs and cellphones, the integration of embedded intelligence (like Web server) in more and more common devices, and the proliferation of wireless communication technologies (IRdA, Bluetooth, IEEE 802.11, GPRS). All these trends contribute to move us closer to the ubiquitous computing world described by Mark Weiser. But while the technology is here, applications, and more important, models and tools for designing future ambient computing systems are still rare. One of the first innovative concepts of ubiquitous computing, context-awareness is still hard to use and understand from a programming perspective. We think that the problem resides in the lack of system support: in traditional computing, operating system offers simple to use and easy to understand abstractions of computational resources. ubiquitous computing involves an integration of "computing" into the real-world, which is a radically different environment for applications. We think that this environment requires new operating system services and abstractions. Because the real world is made of physical entities, "living" in the physical space, ambient computing software should be able to use abstraction representing such objects, in a simple way. In this paper, we present a light framework to design ubiquitous computing software, called SPREAD. Unlike many approaches which hides too much of the real-world behind traditional computing abstraction, SPREAD defines programming abstraction based on the properties of the physical space. Hence, physical properties, like relative proximity, are used as implicitly in SPREAD as variable addressing in a computer memory. In SPREAD, application (or process) behavior can be "mechanically" driven, in the sense that actions flow can be directly dependent of physical mobility. To support this concept, we introduce a programming and execution model allowing designing computing and information sy

关键词： Computer applications Pervasive computing ubiquitous computing Physics computing Personal digital assistants Operating systems application software Power system modeling Explosives Mobile computing

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The 19th heterogeneity in computing workshop (HCW 2010)

The 19th heterogeneity in Computing Workshop (HCW 2010)

引用

IEEE International Symposium on Parallel and Distributed Processing workshops and Phd Forum (IPDPSW)

关键词： Conferences Computer architecture Laboratories Fault tolerance Fault tolerant systems Force Distributed processing

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An AI-Powered application to Enhance Cognitive Health and Provide Caregiver Support for Dementia Patients

An AI-Powered Application to Enhance Cognitive Health and Pr...

引用

ubiquitous computing and Intelligent Information Systems (ICUIS), International Conference on

作者： Kirti Lulle Pooja Agrawal Mansi Amrutwar Simran Khiani Department of Computer Engineering G. H. Raisoni College of Engineering and Management Pune India

ISBN: (数字)9798331529635

ISBN: (纸本)9798331529642

Dementia, a slowly progressing nerve disorder, has millions of sufferers around the world. This paper proposes an AI-powered app to promote cognitive health and help to dementia patients' caregivers. The application contains a machine learning model for early dementia detection, preventive advice, location tracking, memory workout, digital brain games, and cognitive rehabilitation tools. Created with Flutter for universal device support and Firebase for backend help, this tool will help enhance the quality of life for patients and lessen the burden on caregivers. A new evaluation methodology and comparative analysis prove its effectiveness.

关键词： Games Machine learning programming Predictive models ubiquitous computing Safety Predictive analytics Monitoring Medical diagnostic imaging Dementia

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Automatic Code Generation and Data Management for an Asynchronous Task-Based Runtime

Automatic Code Generation and Data Management for an Asynchr...

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workshop on Extreme-Scale programming tools (ESPT)

作者： Muthu Baskaran Benoît Pradelle Benoît Meister Athanasios Konstantinidis Richard Lethin Reservoir Labs Inc New York NY

Hardware scaling and low-power considerations associated with the quest for exascale and extreme scale computing are driving system designers to consider new runtime and execution models such as the event-driven-task (EDT) models that enable more concurrency and reduce the amount of synchronization. Further, for performance, productivity, and code sustainability reasons, there is an increasing demand for auto-parallelizing compiler technologies to automatically produce code for EDT-based runtimes. However achieving scalable performance in extreme-scale systems with auto-generated codes is a non-trivial challenge. Some of the key requirements that are important for achieving good scalable performance across many EDT-based systems are: (1) scalable dynamic creation of task-dependence graph and spawning of tasks, (2) scalable creation and management of data and communications, and (3) dynamic scheduling of tasks and movement of data for scalable asynchronous execution. In this paper, we develop capabilities within R-Stream - an automatic source-to-source optimization compiler - for automatic generation and optimization of code and data management targeted towards Open Community Runtime (OCR) - an exascale-ready asynchronous task-based runtime. We demonstrate the effectiveness of our techniques through performance improvements on various benchmarks and proxy application kernels that are relevant to the extreme-scale computing community.

关键词： Runtime Optical character recognition software Computational modeling Parallel processing Data models programming Computer architecture

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programming biomedical smart space applications with BioImageXD and PythonRules 11

Programming biomedical smart space applications with BioImag...

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Proceedings of the 4th International workshop on Semantic Web applications and tools for the Life Sciences

作者： Natalia Díaz Rodríguez Pasi Kankaanpää M. Mohsin Saleemi Johan Lilius Iván Porres Åbo Akademi University University of Turku (Finland)

ISBN: (纸本)9781450310765

In biomedical sciences new and increasingly complex technologies are constantly being introduced, and to facilitate new scientific discoveries they need to be able to adapt to current demands and provide seamless functionality. However, the interoperability of devices, tools and data is not always simple, and is often a bottleneck in bioimaging. tools that ease the integration of diverse technologies could amplify functionality and performance considerably. BioImageXD software is presented as a use case. We propose a semantic-based approach and PythonRules to increase programming productivity in heterogeneous spaces through adaptable and scalable ontology-based development of Smart Space applications.

关键词： interoperability ubiquitous computing smart space context-aware application development bioimaging ontology

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The TMO structuring approach and its potential for telecommunication applications

The TMO structuring approach and its potential for telecommu...

引用

IEEE workshop on application-Specific Software Engineering Technolog (ASSET)

作者： K.H. Kim C. Subbaraman Department of Electrical & Computer Engineering University of California Irvine CA USA

The TMO (Time-triggered, Message-triggered Object) structuring scheme has the goal of improving productivity in the design of complex real-time computer systems (RTCSs). The TMO scheme facilitates a new paradigm in designing RTCSs called the GG (General-form, timeliness-Guaranteed) design paradigm. Its essence is to realize real-time computing with a common and general design style, not alienating the mainstream computing industry and yet allowing system engineers to confidently produce certifiable RTCSs for safety-critical applications. The TMO structuring scheme is a syntactically simple but semantically major extension of the conventional object structuring approaches, and its support tools can be based on various well-established object-oriented programming languages and on ubiquitous commercial real-time operating system kernels. The scheme enables a reduction of the designer's efforts in guaranteeing timely service capabilities of information systems. We discuss the major features of the TMO structuring approach for real-time computer systems and its potential for use in the telecommunication application domain. Some of the major computing requirements that are imposed by a large class of telecommunication applications are identified and then we discuss on how well the TMO approach can satisfy these requirements. As an illustration, we also present the top-down design of a simple, yet concrete multi-party video conferencing application using the TMO structuring scheme. Finally, the major benefits of the TMO structuring scheme in the design of complex RTCSs are discussed.

关键词： Real time systems Pervasive computing Telecommunication computing application software Productivity Computer industry Design engineering Systems engineering and theory Object oriented programming Operating systems

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Object-oriented reliable distributed programming

Object-oriented reliable distributed programming

引用

International workshop on Object Orientation in Operating Systems

作者： O. Hagsand H. Herzog K. Birman R. Cooper SICS Kista Sweden Siemens AG Corporate Research and Development Munich Germany Cornell University Ithaca NY USA

The importance of reliability in large distributed systems can not be underestimated. Considerable effort has been directed towards the development of software reuse. However, the methods and models evolved are often complex, and the tools developed from these ideas reflect this complexity. Consequently, software structuring methods that can reduce or control complexity are important. The authors explore an object-oriented approach to address some programming methodology issues in reliable distributed computing. They begin by classifying group-related communication in an inheritance-based hierarchy. Next, they explore the use of object groups as a new programming paradigm, and present an implementation of an object-group programming toolkit based on these ideas.< >

关键词： Object oriented programming Distributed computing Intersymbol interference application software Object oriented modeling Fault tolerance Silicon carbide Banking Information systems Costs

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application of lightweight threading techniques to computational chemistry

Application of lightweight threading techniques to computati...

引用

3rd Annual Caltech ASCI/ASAP Center materials Properties workshop

作者： Thornley, John Muller, Richard P. Mainz, Daniel T. Çain, Tahir Goddard Iii, William A. Department of Computer Science University of Virginia Charlottesville VA 22903 United States Materials and Process Simulation Center California Institute of Technology Pasadena CA 91125 United States

The recent advent of inexpensive commodity multiprocessor computers with standardized operating system support for lightweight threads provides computational chemists and other scientists with an exciting opportunity to develop sophisticated new approaches to materials simulation. We contrast the flexible performance characteristics of lightweight threading with the restrictions of traditional scientific supercomputing, based on our experiences with multithreaded molecular dynamics simulation. Motivated by the results of our molecular dynamics experiments, we propose an approach to multi-scale materials simulation using highly dynamic thread creation and synchronization within and between concurrent simulations at many different scales. This approach will enable extremely realistic simulations, with computing resources dynamically directed to areas where they are needed. Multi-scale simulations of this kind require large amounts of processing power, but are too sophisticated to be expressed using traditional supercomputing programming models. As a result, we have developed a high-level programming system called Sthreads that allows highly dynamic, nested multithreaded algorithms to be expressed. Program development is simplified through the use of innovative synchronization operations that allow multithreaded programs to be tested and debugged using standard sequential methods and tools. For this reason, Sthreads is very well suited to the complex multi-scale simulation applications that we are developing.

关键词： Multiprocessing systems

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ParaInsight: An Assistant for Quantitatively Analyzing Multi-granularity Parallel Region

ParaInsight: An Assistant for Quantitatively Analyzing Multi...

引用

IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Ran Ao Guangming Tan Mingyu Chen Institute of Computing Technology Chinese Academy of Sciences Beijing China

With the growing number of cores on chip, scalability of application becomes one of the most important metrics to impact performance and efficient utilization of hardware resource. Simple multi-threading transformation usually acts not well enough so that many of multi-threaded programs should be reconsidered for exploiting more parallelism. However, complex data dependency makes programmer hard to discover the regions with good scalability. Meanwhile, a variety of parallel programming models and platform properties make the choice of parallel granularity even difficult. In this paper, we develop a tool, named Para Insight, to help programmer obtain a quantification insight of parallelism on multi-granularity, as an assistant to ease the process of parallel analysis. We concentrate on revealing the inherent characteristic of program itself, independent of programming model and platform. While regions on which parallelization efforts should be focused are ordering, programmer could choose interested candidate and then use the quantification results to estimate the parallel zing overhead according to concrete parallel programming model and platform parameters. In contrast to many other parallelism discovery tools which mainly focus on parallel zing legacy serial programs, our tool provides assistance on the process of multi-threaded program development. We use multi-threaded benchmark suite Parsec and Splash2 to demonstrate the use of our tool, and specially use two cases to present how to improve performance of multithreaded application with the utilization of analysis data.

关键词： Parallel processing Scalability Hardware Measurement Instruction sets programming Benchmark testing

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