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Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:

Build Status

NEWS

  • Upcoming CK presentation at ARM TechCon'16 (Oct. 27);
  • ARM uses CK as a front-end for systematic and reproducible benchmarking and tuning of real workloads: link;
  • Open challenges in computer engineering have been updated: link;
  • General Motors and dividiti shared CK workflow to crowdsource benchmarking and optimization of CAFFE (DNN framework) here;
  • We have moved related Open Science resources here;

Introduction

This CK-powered open-source Android application lets the community participate in experiment crowdsourcing using their mobile devices (mobile phones, tablets, IoT, etc) and exchange knowledge via public CK servers.

You can download this app from the Google Play Store.

You can also find public results at Live CK repo!

Current scenarios include multi-dimensional and multi-objective optimization of benchmarks and real workloads such as GCC and LLVM multi-objective crowd-tuning (performance / code size / bugs).

More information is available here.

License

  • Permissive 3-clause BSD license. (See LICENSE.txt for more details).

Minimal requirements

Android 2.2+

Authors

  • Grigori Fursin, http://fursin.net/research

Questions/comments/discussions?

Please subscribe to our mailing lists:

  • Open, collaborative and reproducible R&D including knowledge preservation, sharing and reuse: http://groups.google.com/group/collective-knowledge
  • Software and hardware multi-objective (performance/energy/accuracy/size/reliability/cost) benchmarking, autotuning, crowdtuning and run-time adaptation: http://groups.google.com/group/ctuning-discussions

Publications

The concepts have been described in the following publications:

  • http://arxiv.org/abs/1506.06256 (CPC'15)
  • http://bit.ly/ck-date16 (DATE'16)
  • http://hal.inria.fr/hal-01054763 (Journal of Scientific Programming'14)
  • https://hal.inria.fr/inria-00436029 (GCC Summit'09)

If you found this app useful for your R&D, you are welcome to reference any of the above publications in your articles and reports. You can download all above references in one BibTex file here.

Testimonials and awards

Notes

  • API 29 prevents exec() to run downloaded codeletes - we need to find a new solution.

Acknowledgments

CK development is coordinated by the cTuning foundation (non-profit research organization). We are also extremely grateful to all volunteers for their valuable feedback and contributions.

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