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活动简介

Energy efficiency optimization has gradually become one fundamental constraint and requisite in the design of High Performance Computing (HPC) and Distributed Systems, comprehending several prominent research domains embracing the processor architectures (homogeneous/heterogeneous many-core GPPs), the processing accelerators and co-processors (e.g., APUs, GPUs, FPGAs, etc.), the distributed infrastructures (clusters, grids, data centers, etc.), the distributed platforms (application models, framework runtimes and virtual machines), and the underlying network and communication subsystem. Moreover, even in the embedded domain, saving energy in battery-supplied devices is established as a fundamental issue in mobile, hand-held and wireless applications and in most pervasive systems. 

Accordingly, due to the often imposed thermal, power and energy constraints, an effective minimization and optimization of the energy consumption surpasses the obvious economic impact of the energy cost, since it also directly affects other aspects of the overall infrastructure with a significant influence on its viability, including the power supply and its distribution, cooling mechanisms (cost and space overhead) and management techniques, etc. 

These new challenges require innovative and effective solutions to attain an effective optimization and/or minimization of the power consumption in HPC and distributed systems, including energy-efficient architectures, scheduling and mapping algorithms, load-balancing and scalability studies, and communication protocols. 

The goal of this workshop is to bring together active researchers who are interested in prevailing issues and prominent challenges related to optimizing computing systems power consumption, energy efficient systems, power-aware distributed systems, and green computing. 

 

INSTRUCTIONS FOR PAPER SUBMISSION 
You are invited to submit original and unpublished research works on above and other topics related to optimization issues in energy efficient high performance and distributed computing systems. Submitted papers must not have been published or simultaneously submitted elsewhere. 

Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and email addresses. Indicate clearly the corresponding author and include up to 6 keywords from the above list of topics and an abstract of no more than 400 words. The full manuscript should be at most 8 pages using the two-column format. Additional pages will be charged additional fee. Short papers (up to 4 pages), poster papers and posters (please refer to HPCS’2016 webpage for the posters submission details) will also be accepted for submission. In case of multiple authors, an indication of which author(s) is responsible for correspondence must be indicated. Please include page numbers on all submissions to make it easier for reviewers to provide helpful comments. 

Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and presentation, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS’2016 conference to present the paper at the Workshop. 

征稿信息

征稿范围

  • Energy-aware communication: energy-efficient models, protocols and routing algorithms applied in the physical (PHY), data-link (MAC), network (IP), transport (TCP/UDP) and middleware layers above; energy-efficient cross-layer protocols; energy trade offs between communication and computation; energy-efficient network services and operations.

  • Tools and algorithms: Programing languages, compilers and models for energy-aware computing; profiling and simulation tools for heat/power/energy estimation; power- and thermal-aware scheduling, mapping and task/thread migration policies for energy efficiency; energy-aware resource management; operating system support and energy management tools.

  • Green Computing: models, methodologies and paradigms; sustainable computing; management and balance between performance, reliability and energy consumption; standardization and benchmarking for energy-aware systems; integration with smart grids. 

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重要日期
  • 会议日期

    07月18日

    2016

    07月22日

    2016

  • 07月22日 2016

    注册截止日期

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