活动简介

Mobile and Embedded platforms are used everywhere today. Researchers and system designers provide platforms with more features for parallelization such as multicore architecture, integrated pipelining, independent distributed and shared cache, per clock cycle execution and on the other hand, they work on software architecture to support aforementioned hardware, compilers and code generators, mobile operating systems with ability of serving concurrent processes and threads. GPGPU is currently the dominant platform for supercomputing. The challenge is becoming more exciting when GPGPU chips with high number of simple cores are embedded in SoC, facilitating developers to increase computational speed on mobile platforms extensively. And furthermore, Stratix 10 now is released with an ARM processor allowing the entire architecture to follow big.LITTLE topology.

MEDIS Workshop is aiming to collect and choose high quality papers in the filed of mobile supercomputing and provide a platform for researchers and scientists to discuss about future generation of ultra dense multicore mobile and embedded platforms used in computationally heavy applications. Such platforms will be used in Cognitive and Semantic Robotics, ubiquities Computing, and they help improving the quality of life in general. Papers are encouraged to present innovative ideas in software or hardware design and development for parallel computing used in mobile platforms.

征稿信息

征稿范围

Topics of interest include, but are not limited to, the following:

  • Parallel Computation for Embedded systems

  • Design and Development of Parallel and Multicore Embedded platforms

  • Mobile Supercomputing

  • GPGPU SoC

  • Hardware Realization of Parallel Algorithms for Mobile Devices

  • Distributed mobile cloud

  • Embedded Supercomputing

  • Tegra Jetson TX1 GPGPU programming

  • CUDA BLAST and MAGMA on mobile

  • Massive Parallelization Schemes

  • Parallel Algorithms

  • Mobile Supercomputing Applications

  • Network Bottlenecks in Massive Parallelization

  • Clouds and Distributed Computing

  • Data Analytics

  • Visualization and Storage

  • Performance and System Software for Parallel machine

  • FPGA Development for Massive Parallelization

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重要日期
  • 会议日期

    07月04日

    2017

    07月08日

    2017

  • 07月08日 2017

    注册截止日期

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IEEE Computer Society
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