All CK components can be found at cKnowledge.io and in one GitHub repository!
These are various public data sets for public bechmarks and kernels used in our research on universal and multi-objective autotuning/crowd-tuning in the open Collective Knowledge format:
- http://arxiv.org/abs/1506.06256
- http://hal.inria.fr/hal-01054763
- https://hal.inria.fr/inria-00436029
- http://arxiv.org/abs/1407.4075
They can be easily plugged in to various CK research workflows (such as collaborative benchmarking and optimization of computer systems).
They also help with our artifact evaluation initiative at various computer systems conferences and journals.
Stable reprository
- Grigori Fursin, cTuning foundation
- Various authors of shared programs (see individual entries)
- Collective Knowledge Framework: http://github.com/ctuning/ck
ck pull repo:ctuning-datasets-min
It is possible to share CK repositories as zip archives (useful to share artifacts along with publications and add them as supplementary material for ACM Digital Library, for example). Such repositories can be installed via
ck add repo:[repo_name] --zip=[zip archive name or full URL] --quiet
We shared multiple repositories with thousands of data sets for our shared benchmarks via Google Drive:
For example, you can download ckr-ctuning-datasets.zip (or other and much larger datasets ckr-usb-ctuning-dataset-* from our PLDI paper).
Register it with CK simply via:
ck add repo:ctuning-datasets --zip=ckr-ctuning-datasets.zip --quiet
Now, when you run shared cTuning benchmarks (programs), you will automatically have an extended choice of data sets.
If you want to compile and run our benchmarks on Android-based mobile phones, you need to download and register with CK Android NDK as described here:
We share some large CK repositories in zip via BitTorrent to optimize sharing (upload and download) of such repositories across multiple users. We use the following file name convention for such repositories: ckr--YYYYMMDD.zip.
- ckr-32332f6412da1be1-20150803.zip (~287Mb) - Data sets (MiDatasets and cDatasets) from our past R&D to crowdsource autotuning and benchmarking (crowd-tuning and crowd-benchmarking). Get torrent here: https://github.com/ctuning/ck-guide-images/blob/master/ckr-32332f6412da1be1-20150804.zip.torrent?raw=true
@inproceedings{ck-date16,
title = {{Collective Knowledge}: towards {R\&D} sustainability},
author = {Fursin, Grigori and Lokhmotov, Anton and Plowman, Ed},
booktitle = {Proceedings of the Conference on Design, Automation and Test in Europe (DATE'16)},
year = {2016},
month = {March},
url = {https://www.researchgate.net/publication/304010295_Collective_Knowledge_Towards_RD_Sustainability}
}
@inproceedings{Fur2009,
author = {Grigori Fursin},
title = {{Collective Tuning Initiative}: automating and accelerating development and optimization of computing systems},
booktitle = {Proceedings of the GCC Developers' Summit},
year = {2009},
month = {June},
location = {Montreal, Canada},
keys = {http://www.gccsummit.org/2009}
url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=IwcnpkwAAAAJ&cstart=20&citation_for_view=IwcnpkwAAAAJ:8k81kl-MbHgC}
}
- http://arxiv.org/abs/1506.06256
- http://hal.inria.fr/hal-01054763
- https://hal.inria.fr/inria-00436029
- http://arxiv.org/abs/1407.4075
- https://scholar.google.com/citations?view_op=view_citation&hl=en&user=IwcnpkwAAAAJ&citation_for_view=IwcnpkwAAAAJ:LkGwnXOMwfcC
If you have problems, questions or suggestions, do not hesitate to get in touch via the following mailing lists: