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Web shortcut: http://cTuning.org/community

You can use the following 2 mailing lists to introduce yourself, communicate with the cTuning community, send announcements and discuss developments and research:

cTuning community mailing lists:

  • cTuning discussions - use this potentially high-volume list for cTuning R&D discussions. If your message relates to one of the following topics, specify it in the square brackets in Subj when posting to this mailing list:
    • [cTuning] - General cTuning discussions
    • [cTools] - General cTools discussions
      • [ICI] - Interactive Compilation Interface (Collaborative Interactive & Research Compilers)
      • [CCC] - Continuous Collective Compilation Framework
      • [cBench] - Collective Benchmark
      • [UNIDAPT] - Universal Adaptation Framework
      • [cArch] - Collaborative Architecture Simulation Platform
      • [cVirt] - Collaborative Virtualization Platform
    • [cDatabase] - General cDatabase discussions
    • [cResearch] - General cResearch discussions
  • cTuning announcements - use this low-volume list to send brief announcements related to cTuning activities

Note:keep in mind that these are open public mailing lists - everyone can read your messages!

Everyone is welcome to join cTuning community (and quickly self-register at this website) if you share our vision on collaborative R&D and would like to :

  • use cTools for your R&D
  • share, rank and reference interesting optimization cases using COD
  • provide news, feedback or actively participate in this collaborative effort
  • extend cTools, cResearch and propose new collaborative R&D projects for the cTuning community.

We hope that this community effort will help to:

  • deliver better performance on all existing and emerging single-core and heterogeneous multi-core architectures (ranging from supercomputers to embedded systems)
  • boost innovation in compiler, OS and architecture technology
  • provide novel adaptive mechanisms for heterogeneous, reconfigurable multi-core systems and emerging technologies such as cloud computing
  • simplify program and architecture design and optimization
  • reduce system cost
  • will eventually have a positive effect on science and industries that demand ever-increasing computing resources while placing strict requirements on systems.

You can find list of people who contributed to this project here.

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