Crowdsourcing experiments 2.7
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Free Version
Publisher Description
Crowdsourcing experiments - Participate in experiment crowdsourcing to help solve complex research problems!
This application lets you participate in experiment crowdsourcing to help researchers solve complex problems using open-source Collective Knowledge Engine available at http://github.com/ctuning/ck . You can see all public crowd results at http://cknowledge.org/repo! You can also check out other ways to participate in experiment crowdsourcing (using laptops and data centers) at https://github.com/ctuning/ck/wiki/Crowdsourcing-optimization. Finally, you can get open sources of this Android app at https://github.com/ctuning/crowdsource-experiments-using-android-devices . This development is coordinated by the non-profit cTuning foundation: http://cTuning.org . Please, check out our other initiatives for open science at http://cTuning.org/reproducibility-wiki .
We have been struggling with a lack of computational resources and diverse workloads/data sets/hardware for our own research to make faster, smaller, more power efficient reliable self-tuning software and hardware for more than a decade! Indeed, computer systems are becoming very inefficient - it is nowadays not uncommon to obtain 10x speedups, 2x size reduction and 40% energy reduction for popular algorithms (DNN, BLAS, video processing) on latest hardware using so-called autotuning of various algorithm parameters and compiler optimizations. However, this process is extremely time consuming due to very large design and optimization spaces.
With the help of the non-profit cTuning foundation, we have developed this open source Collective Knowledge technology (CK) to let the community share workloads, data sets, tools and experimental workflows in an open CK format via GitHub or BitBucket, crowdsource experiments across numerous devices provided by volunteers, classify solutions on the fly (active learning), apply predictive analytics, exchange knowledge and reproduce results. Our current shared experimental scenarios including GCC and LLVM compiler flag tuning, and we plan to add automatic OpenCL/CUDA tuning, scalability testing, compiler bug detection and numerical stability analysis (see CK-based interactive report: http://cknowledge.org/interactive-report )! This application simply queries any available public CK server, obtains experimental pack for your device (such as several binaries of a shared benchmark with different optimizations), runs it on your mobile device with some random data set and send statistics back to CK server to be processed using active learning and predictive analytics.
Your participation supports our open science and reproducible research initiatives such as Artifact Evaluation at various conferences (sharing experimental workflows with all related artifacts and results along with publications in a reproducible and reusable way to be validated by the community):
* http://cTuning.org/ae
* http://adapt-workshop.org
* http://ctuning.org/reproducibility-wiki
You may read more about our long-term vision in the following publications:
* http://arxiv.org/abs/1506.06256
* http://bit.ly/ck-date16
* http://hal.inria.fr/hal-01054763
* http://arxiv.org/abs/1406.4020
* https://hal.inria.fr/inria-00436029
We would like to thank our current supporters:
* http://cTuning.org (non-profit foundation)
* http://dividiti.com
We have many new ideas and possible projects based on this technology. If you are interested to know more or even participate in our activities, join our growing academic and industrial consortium, optimize or share your realistic workloads, implement new experiment crowdsourcing scenarios, provide more computational resources, do not hesitate to get in touch with the author (Grigori Fursin, http://fursin.net) or via our public mailing list:
* https://groups.google.com/forum/#!forum/collective-knowledge
Thank you very much for participating in experiment crowdsourcing and enabling open science!
About Crowdsourcing experiments
Crowdsourcing experiments is a free app for Android published in the System Maintenance list of apps, part of System Utilities.
The company that develops Crowdsourcing experiments is Grigori Fursin. The latest version released by its developer is 2.7.
To install Crowdsourcing experiments on your Android device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2020-10-20 and was downloaded 2 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Crowdsourcing experiments as malware as malware if the download link to openscience.crowdsource.experiments is broken.
How to install Crowdsourcing experiments on your Android device:
- Click on the Continue To App button on our website. This will redirect you to Google Play.
- Once the Crowdsourcing experiments is shown in the Google Play listing of your Android device, you can start its download and installation. Tap on the Install button located below the search bar and to the right of the app icon.
- A pop-up window with the permissions required by Crowdsourcing experiments will be shown. Click on Accept to continue the process.
- Crowdsourcing experiments will be downloaded onto your device, displaying a progress. Once the download completes, the installation will start and you'll get a notification after the installation is finished.
