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Application Language

The Experts below are selected from a list of 192 Experts worldwide ranked by ideXlab platform

David E Culler – 1st expert on this subject based on the ideXlab platform

  • system design for a synergistic low power mote ble embedded platform
    Information Processing in Sensor Networks, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.

  • System Design for a Synergistic, Low Power Mote/BLE Embedded Platform
    2016 15th ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2016 – Proceedings, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.

Michael P. Andersen – 2nd expert on this subject based on the ideXlab platform

  • system design for a synergistic low power mote ble embedded platform
    Information Processing in Sensor Networks, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.

  • System Design for a Synergistic, Low Power Mote/BLE Embedded Platform
    2016 15th ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2016 – Proceedings, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.

Giuseppe Fierro – 3rd expert on this subject based on the ideXlab platform

  • system design for a synergistic low power mote ble embedded platform
    Information Processing in Sensor Networks, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.

  • System Design for a Synergistic, Low Power Mote/BLE Embedded Platform
    2016 15th ACM IEEE International Conference on Information Processing in Sensor Networks IPSN 2016 – Proceedings, 2016
    Co-Authors: Michael P. Andersen, Giuseppe Fierro, David E Culler

    Abstract:

    Modern IoT prototyping platforms fall short in terms of energy efficiency, connectivity and software programming practices. We present the design of a new hardware and software platform that addresses these shortcomings by bringing together Mobile, Wearable, Maker and Wireless Sensor Network technologies to enable rapid prototyping with a high degree of synergy and energy efficiency. This is achieved in part by leveraging the Memory Protection Unit on modern microcontrollers along with a novel syscall interface to provide kernel / user isolation and a clean concurrency model. Such a design allows a wide range of Languages to be used for Application development without significant adaptation. We demonstrate how careful choice of Application Language allows the naturally asynchronous nature of embedded programming to be expressed cleanly and powerfully. Finally we evaluate the platform in several integrated use cases, providing examples of the capabilities introduced by Synergy.