REPPAR 2016 - 3rd International Workshop on Reproducibility in Parallel Computing (REPPAR)

1 Scope
===
The workshop is focused on the design, implementation, execution, and
analysis of experiments in parallel and distributed computing
(including HPC, Clouds, Networking, Big Data) to improve the
reproducibility of results.
2 Topics addressed in the workshop include:
===
- Experimental design of parallel computing experiments
- Experiences and best practices for conducting experiments (including
papers that address the reproduction of other articles)
- Supporting reproducibility in experimental testbeds for parallel
computing
- Tools for reproducible research (e.g., control of experiments,
versioning, archiving)
- Analysis of experimental data (e.g., visualization, statistical
analysis, provenance)
- Automated uncertainty quantification for experimental workflows (or
data-focused workflows)
- Systems to incorporate (potentially very large) data into automated
testing frameworks
- Sustainable models for public data sharing
3 Paper Types
===
- full workshop paper: a regular article with up to 12 pages
Please note that only full workshop papers (10-12 pages), which have
been positively reviewed by at least three referees before being
presented at the workshop, may be included in the workshop
proceedings.
4 Demos and Tutorials
===
We welcome demos and tutorials addressing (potential) solutions to the
reproducibiblity/replicability problem. Please contact us directly if
you want to give a tutorial (demo).
5 Contributed Talks
===
The workshop will provide several slots (20 min talk + 5 min
questions) for contributed talks. We therefore invite scientists to
submit abstracts (max. 1 page) of contributed talks that are related
to the workshop topics. The abstracts accepted for contributed talks
will not be included in the workshop proceedings. Please submit the
abstract through EasyChair.