ADAPT'15 outcome and new publication model for ADAPT'16

A few words about ADAPT'15 outcome:

* Final program with all PDFs is available online at here.

* The following paper received Nvidia best paper award (Tesla K40):

A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds
Kiran Mantripragada¹, Alecio Binotto¹ and Leonardo Tizzei^2
1 IBM Research - Brazil
² IBM Brazil

* We had a very interesting discussion about our new open publication model. In spite of some possible issues, it seems that there is a support to try it for ADAPT'16. Interestingly, we just found out that very similar model is proposed for other scientific fields (see this blog article). Furthermore, we just found the following public discussion on Slashdot about one of ADAPT'15 papers supporting our idea (as a researcher, you normally publish to present your work to a broad community, initiate discussions and get feedback to improve your work, unless it's purely for academic promotion reasons).

Please, follow our announcements about ADAPT'16 (will likely be co-located with HiPEAC'16 in Prague and will likely feature new publication model).

Anaconda Scientific Python Distribution

Recently discovered Anaconda Scientific Python Distribution. It contained all necessary libraries for the Collective Knowledge Framework that I use for auto-tuning, statistical analysis and predictive analytics, so wanted to share it with you:

https://store.continuum.io/cshop/anaconda

New year's digest on collaborative & reproducible research

This list is aggregated from public and private messages or during web browsing. Don't hesitate to send me links via our public mailing list or LinkedIn group (to have an acknowledgment):
https://groups.google.com/forum/#!forum/collective-mind
http://www.linkedin.com/groups/Reproducible-research-experimentation-in-computer-7433414


=== Misc articles ===

* "Research Wranglers: Initiatives to Improve Reproducibility of Study Findings"
  http://ehp.niehs.nih.gov/122-a188

* Dennis McCafferty, "Should Code be Released?",
  Communications of ACM, 2010/10, Vol.53, No.10, DOI:10.1145/1831407.1831415
  http://dl.acm.org/citation.cfm?id=1831415

* Chris Drummond, "Replicability is not Reproducibility: Nor is it Good Science"
  Proc. of the Evaluation Methods for Machine Learning Workshop
  at the 26th ICML, Montreal, Canada, 2009.
  Copyright: National Research Council of Canada
  http://cogprints.org/7691/7/ICMLws09.pdf

* Science is in a reproducibility crisis - how do we resolve it?
  http://theconversation.com/science-is-in-a-reproducibility-crisis-how-do-we-resolve-it-16998

* My blog article on "Automatic performance tuning and reproducibility as a side effect"
  for the Software Sustainability Institute:
  http://www.software.ac.uk/blog/2014-07-22-automatic-performance-tuning-and-reproducibility-side-effect

* Puzzling Measurement of "Big G" Gravitational Constant Ignites Debate
  http://www.scientificamerican.com/article/puzzling-measurement-of-big-g-gravitational-constant-ignites-debate-slide-show/

* White House takes notice of reproducibility in science, and wants your opinion
  http://retractionwatch.com/2014/09/05/white-house-takes-notice-of-reproducibility-in-science-and-wants-your-opinion/

* Problems during performance benchmarking:
** https://homes.cs.washington.edu/~bornholt/post/performance-evaluation.html




We also experienced many similar issues during our work on auto-tuning and machine learning:
* http://hal.inria.fr/hal-01054763
* http://arxiv.org/abs/1406.4020

* ACM SIGOPS Operating Systems Review - Special Issue on Repeatability
  and Sharing of Experimental Artifacts:
  http://dl.acm.org/citation.cfm?id=2723872

* Vinton G. Cerf. "Bit Rot: Long-Term Preservation of Digital Information" [Point of View]
  http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5768098

* Less related though interesting (about citations):
  http://www.nature.com/news/the-top-100-papers-1.16224

=== Future events ==

* February 9, 2015, CGO/PPoPP joint session on artifact evaluation experience
  San Francisco, 17:15 - 17:35
  Grigori Fursin and Bruce Childers

* November 1-4, 2015, Dagstuhl Perspective Workshop
  "Artifact Evaluation for Publications"
  Bruce Childers, Shriram Krishnamurthi, Grigori Fursin, Andreas Zeller

* March 13 - 18 , 2016, Dagstuhl Seminar 16111
  "Rethinking Experimental Methods in Computing"

=== Past events ===

* Oct 27-30, 2014, Washington DC, US
  "1st International Workshop on Collaborative methodologies to Accelerate
  Scientific Knowledge discovery in big data (CASK) 2014"

  In conjunction with 2014 IEEE International Conference on Big Data
  (IEEE BigData 2014)
 
  http://bigscientificdata.org/cask14

* September 1, 2014:  Special journal issue on reproducible research methodologies
  in IEEE Transactions on Emerging Topics in Computing (TETC).

  http://www.occamportal.org/images/reproduce/TETC-SI-REPRODUCE.pdf

* January 2015:

  ACM SIGOPS Operating Systems Review
  Special Issue on Repeatability and Sharing
  of Experimental Artifacts
 
  http://www.sigops.org/osr.html

=== Journals/Conferences with reproducible articles ===
* IPOL Journal: Image Processing On Line
  http://www.ipol.im

=== Tools ===
* NGS pipelines - ntegrates pipelines and user interfaces
  to help biologists to analyse data outputed from biological
  applications such as RNAseq, sRNAseq, ChipSeq, BS-seq:
  https://mulcyber.toulouse.inra.fr/projects/ngspipelines

* Skoll: A process & Infrastructure for Distributed, continuous Quality assurance
  http://www.cs.umd.edu/projects/skoll/Skoll/Home.html

* NEPI: Simplifying network experimentation:
  http://nepi.inria.fr

* RR (Mozilla project): records nondeterministic executions and debugs them deterministically
  http://rr-project.org

* Burrito: Rethinking the Electronic Lab Notebook
  http://pgbovine.net/burrito.html

* Collective Knowledge (cTuning v4): our tool and repository to simplify code and data sharing as reusable components (for collaborative and reproducible R&D):
  http://github.com/ctuning/ck

=== Online workflows ===

* RunMyCode:
  http://www.runmycode.org

* AptLab:
  https://www.aptlab.net

=== Projects ===
* OpenLab:
  http://www.ict-openlab.eu

* EU Recode project
  http://recodeproject.eu/events/upcoming-events

* CERN: opendata
  http://opendata.cern.ch

* Research Data Alliance:
  https://rd-alliance.org

* Open Data Institute:
  http://opendatainstitute.org

=== Online archives/repos ===

* Olive Archive (preserving executable content):
  https://olivearchive.org

* Tera-PROMISE:
  http://openscience.us/repo

* OpenAire (CERN)
  https://www.openaire.eu

* Zenodo:
  https://zenodo.org

* ResearchCompendia:
  http://researchcompendia.org

* Internet Archive:
  https://archive.org

* The national archives:
  http://www.nationalarchives.gov.uk

* WikiData:
  http://www.wikidata.org/wiki/Wikidata:Introduction

* The digital preservation network:
  http://www.dpn.org

* Open datasets:
  https://open-data.europa.eu

* DataHub:
  http://datahub.io

* Datacite: citing data as DOI (Germany, has connections with CERN)
  https://www.datacite.org/contact

* CrossRef:
  http://www.crossref.org

* International DOI Foundation
  http://www.doi.org

* Our new pilot Collective Knowledge repository:
  http://cknowledge.org/repo

CGO'15/PPoPP'15 Artifact Evaluation Results

We finished evaluating artifacts for accepted CGO'15/PPoPP'15 papers.

The list of papers with validated artifacts is now available online:
* http://cTuning.org/event/ae-cgo2015
* http://cTuning.org/event/ae-ppopp2015

It was a really interesting and not always straightforward experience.
Therefore we will be discussing it and presenting ideas to improve
future AE at the common CGO/PPoPP session on the 9th of February, 2015.

More details to follow ...

Greetings!

Dear colleagues,
We wish you happy holidays and very successful New Year!
cTuning team

ADAPT'15 preliminary program is online

Dear colleagues,

Preliminary program for ADAPT'15 co-located with HiPEAC'15 is now available online:
http://adapt-workshop.org/program.htm

Early registration fees deadline for HiPEAC is Dec.23, 2014:
https://www.hipeac.org/2015/amsterdam

Looking forward to see you there,
Grigori and Christophe
ADAPT'15 organizers

NVIDIA is sponsiring our ADAPT'15 best paper award

We are glad to announce that NVIDIA kindly provided Tesla K40 (~$5000) for our ADAPT's best paper award!