Conferences related to Data flow computing

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Data flow computing

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Most published Xplore authors for Data flow computing

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Xplore Articles related to Data flow computing

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Disproving the perfect-rate property of data-flow graphs unfolded by the least common multiple of the number of loop register

IEEE Transactions on Computers, 2003

In their 1991 paper "Static Rate-Optimal Scheduling of Iterative Data-Flow Programs via Optimum Unfolding", Parhi and Messerschmidt stated a perfect-rate property on unfolded data-flow graphs (DFGs). This is disproven by a simple counter example.


36th International Symposium on Microarchitecture

Proceedings. 36th Annual IEEE/ACM International Symposium on Microarchitecture, 2003. MICRO-36., 2003

The following topics are dealt with: voltage scaling; transient faults; cache design; power efficient architectures; energy efficient architectures; application specific optimization; dynamic optimization systems; dynamic program analysis; dynamic program optimization; branch optimization; value optimization; scheduling optimizations; dataflow architectures; data parallel architectures; clustered architectures; network processors; and scaling design.


Research on Urban Road Section Capacity under the Condition of Ice and Snow

2010 International Conference on Intelligent Computation Technology and Automation, 2010

In order to study the traffic flow characters in urban road section under the condition of ice and snow preferably, this paper collected the observation data of traffic flow in winter of 2008 and 2009 in parts of main roads of Changchun, China through the method combining the video observation and manual survey, and the regression model of traffic speed ...


Grand challenges in spatial-temporal computing on image flows

Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004., 2004

Summary form only given. One of the most difficult tasks, since the invention of the computer, has been the solution of nonlinear wave equations. Now, the broader problem is to make a computer operating on image flows as data and having elementary instructions as solving nonlinear wave equations. Interestingly, almost all of the living sensory systems have similar anatomies and ...


Separation of factor images for blood flow estimation in positron emission tomography using ensemble independent component analysis

Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005., 2005

To calculate regional myocardial blood flow, ensemble ICA (independent component analysis) was evaluated. Myocardial blood flow was estimated from dynamic H/sub 2//sup 15/O PET, and perfusion score was computed from myocardial SPECT data in this study. In ensemble ICA, posterior pdf was approximated by a rectified Gaussian distribution to incorporate non- negativity constraint, which is suitable to dynamic images in ...


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Educational Resources on Data flow computing

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IEEE.tv Videos

Neural Processor Design Enabled by Memristor Technology - Hai Li: 2016 International Conference on Rebooting Computing
5G Virtual RAN Network Architectures - Olufemi Adeyemi - IEEE Sarnoff Symposium, 2019
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
Big Data & the Cloud: The Road Ahead
Rebooting Computing: Randomness and Approximation
Process Data and Computing with Words: A Neglected Opportunity?
Q&A with Dr. Ling Liu: IEEE Big Data Podcast, Episode 8
Big Data & the Cloud: The Research Agenda
Big Data & the Cloud: Privacy and Security issues
Rebooting Computing Panel - Stan Williams: 2016 Technology Time Machine
Big Data Meets Big Compute - 2018 IEEE Industry Summit on the Future of Computing
Switching, Routing & Forwarding: Technical Session 1 - HPSR 2020 Virtual Conference
Rebooting Computing Research at the Laboratory for Physical Sciences - Gil Herrera: 2016 International Conference on Rebooting Computing
Q&A with Kirk Bresniker: IEEE Rebooting Computing Podcast, Episode 20
Future of Computing: Memory/Storage - Steve Pawlowski - ICRC San Mateo, 2019
Artificial Evolution: From Digital to Physical
Computing in the Cambrian Era - ICRC 2018 Plenary, Paolo Faraboschi
"A View from the Cloud" -- IEEE Cloud 2012 Conference
Future Computing Systems (FCS) to Support Understanding Capability - Sergey Serebryakov - ICRC San Mateo, 2019
Reversible Computing as a Path Towards Unbounded Energy Efficiency - Michael Frank - ICRC 2018

IEEE-USA E-Books

  • Disproving the perfect-rate property of data-flow graphs unfolded by the least common multiple of the number of loop register

    In their 1991 paper "Static Rate-Optimal Scheduling of Iterative Data-Flow Programs via Optimum Unfolding", Parhi and Messerschmidt stated a perfect-rate property on unfolded data-flow graphs (DFGs). This is disproven by a simple counter example.

  • 36th International Symposium on Microarchitecture

    The following topics are dealt with: voltage scaling; transient faults; cache design; power efficient architectures; energy efficient architectures; application specific optimization; dynamic optimization systems; dynamic program analysis; dynamic program optimization; branch optimization; value optimization; scheduling optimizations; dataflow architectures; data parallel architectures; clustered architectures; network processors; and scaling design.

  • Research on Urban Road Section Capacity under the Condition of Ice and Snow

    In order to study the traffic flow characters in urban road section under the condition of ice and snow preferably, this paper collected the observation data of traffic flow in winter of 2008 and 2009 in parts of main roads of Changchun, China through the method combining the video observation and manual survey, and the regression model of traffic speed and capacity of urban road section was established under the condition of ice and snow. Compared with the recommended value of HCM2000, the ice-snow has greater influence on running speed and the section capacity, the decreased degree of which on ice-snow section were obviously different under the condition of different snowfall, which was divided into light, small, moderate and heavy. The investigation results show that the speed was decreased by 20%~45%, and the capacity was decreased by 7%~30%. The conclusions will be beneficial to making control measures and adjusting management strategy in time.

  • Grand challenges in spatial-temporal computing on image flows

    Summary form only given. One of the most difficult tasks, since the invention of the computer, has been the solution of nonlinear wave equations. Now, the broader problem is to make a computer operating on image flows as data and having elementary instructions as solving nonlinear wave equations. Interestingly, almost all of the living sensory systems have similar anatomies and physiology models. The cellular wave computer is doing this exactly. Their implementation is presently mostly 2D. A major challenge is a way to make it in 3D, and how to make it in nanoscale or by using non-electronic materials. These could lead to a new understanding of the complexity of computing, as well.

  • Separation of factor images for blood flow estimation in positron emission tomography using ensemble independent component analysis

    To calculate regional myocardial blood flow, ensemble ICA (independent component analysis) was evaluated. Myocardial blood flow was estimated from dynamic H/sub 2//sup 15/O PET, and perfusion score was computed from myocardial SPECT data in this study. In ensemble ICA, posterior pdf was approximated by a rectified Gaussian distribution to incorporate non- negativity constraint, which is suitable to dynamic images in nuclear medicine. Major cardiac components were separated successfully by the ensemble ICA method. Mean myocardial blood flow was 1.2/spl plusmn/0.40 ml/min/g in rest, 1.85/spl plusmn/1.12 ml/min/g in stress state. Reproducibility of data analysis for blood flow values were highly correlated (r=0.99). The image contrast between left ventricle and myocardium was better than other method. Perfusion reserve was decreased in the stenosis region. Applied ensemble ICA method will be a feasible method to handle dynamic image sequence obtained by the nuclear medicine techniques.

  • The Study on Water-Flooded Mechanism and Logging Data Response Characteristics of Water Displacing Oil Tests of High Permeability Reservoirs

    In order to investigate water-flooded mechanism and logging data response characteristics, a series of water displacing oil tests of high permeability reservoirs are performed. Rock pyrolysis, gas chromatograph of saturated hydrocarbon and fluorescent microgram of samples are developed. Meanwhile, variation ruled and trend of rock pyrolysis, gas chromatograph of saturated hydrocarbon and fluorescent microgram followed by water cut increasing are analyzed. Logging data response characteristics of high permeability reservoirs are discussed. The study provides theoretical foundation for evaluating different range of water-flooded of high permeability reservoirs by logging data.

  • Parallel design verification using standard hardware and sequential software

    A novel algorithm for parallel design verification is described. Its data model is that of the data flow computer and is based on the partitioning of the design verification cycle into independent tasks that can be run concurrently. The significance of this methodology is that, unlike other concepts that cannot use the existing sequential code and can only run on an expensive special-purpose hardware, the proposed approach does not require any code development and can be accommodated by a standard Unix distributed network or a multiprocessor. The author presents experimental results for performing 52 design rule checks on 1.3 million polygons (12 layers) on both a multiprocessor configuration and a distributed network.<<ETX>>

  • Multidimensional algorithms for VLSI processors

    Several algorithms are presented for the l-dimensional cyclic convolution of n points. It is shown how these algorithms can be executed on a VLSI processor called the arithmetic cube, which has regular layout, simple control, and a bounded length and number of interconnects. It is also shown how changing the dimensionality of a transform can be used to efficiently compute an arbitrary problem on an arithmetic cube of given size. Finally, area and time bounds are developed for the arithmetic cube.<<ETX>>

  • Logic State Analyzers-A New Instrument for Analyzing Sequential Digital Processes

    Logic state analyzers are used to monitor, or measure, the sequence of program and data flow in sequential processors, such as computers and microprocessors, as a means of debugging, testing, and troubleshooting these processors. The application of these measurements is discussed using examples of debugging and troubleshooting techniques made possible by logic state analyzers. The capabilities required to implement these measurements are set forth using the previously described measurements. These measurement capabilities, then, become the functional definition of a logic state analyzer. Finally, the block diagram required to implement these measurement capabilities is developed as a further means of describing the measurement of logic or data sequences and the application of these measurements to troubleshooting, debugging, and testing sequential digital machines and systems.

  • nCUBE3 communications architecture

    None



Standards related to Data flow computing

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IEEE Recommended Practice for the Transfer of Power Quality Data

This recommended practice will develop a criteria for the transfer of power quality data between instruments and computers. This data includes raw, processed, simulated, proposed, specified and calculated data. The transfer criteria will include the data as well as appropriate data characterization parameters, such as sampling rate, resolution, calibration status, instrument identification, and other pertinent or desired characteristics or data. ...


IEEE Standard for a High Performance Serial Bus Peer-to-Peer Data Transport Protocol (PPDT)

This is a full-use standard whose scope is the definition of a peer-to-peer data transport protocol between Serial Bus devices that implement ANSI NCITS 325-1998, Serial Bus Protocol 2. The facilities specified include, but are not limited to device and service discovery, self-configurable (plug and play) binding of software device drivers to PPDT devices and service connection management.



Jobs related to Data flow computing

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