Important dates:

Paper submission: March 14, 2014 (Anywhere on Earth)
Notification: April 14, 2014
Final version: May 2, 2014
Workshop: June 12, 2014

LinkedIn group

[ Link ]

Collective Mind project:

[ Live repository ], [ Framework ]

OCCAM project

[ Link ]

Sponsors

ACM SIGPLAN

If your company or institution is interested to become our sponsor, please don't hesitate to contact us !

TRUST 2014

1st ACM SIGPLAN Workshop on Reproducible Research Methodologies
and New Publication Models in Computer Engineering 

co-located with PLDI 2014

June 12, 2014 (afternoon), Edinburgh, UK

Sponsored by

We particularly focus on technological aspects to enable reproducible research and experimentation on program and architecture empirical analysis, optimization, simulation, co-design and run-time adaptation.

Call for papers

It becomes excessively challenging or even impossible to capture, share and accurately reproduce experimental results in computer engineering for fair and trustable evaluation and future improvement. This is often due to ever rising complexity of the design, analysis and optimization of computer systems, increasing number of ad-hoc tools, interfaces and techniques, lack of a common experimental methodology, and lack of simple and unified mechanisms, tools and repositories to preserve and exchange knowledge apart from numerous publications where reproducibility is often not even considered. This ACM SIGPLAN workshop is intended to become an interdisciplinary forum for academic and industrial researchers, practitioners and developers in computer engineering to discuss challenges, ideas, experience, trustable and reproducible research methodologies, practical techniques, tools and repositories to:

• capture, preserve, formalize, systematize, exchange and improve knowledge and experimental results including negative ones
• describe and catalog whole experimental setups with all related material including algorithms, benchmarks, codelets, datasets, tools, models and any other artifact
• validate and verify experimental results by the community
• develop common research interfaces for existing or new tools
• develop common experimental frameworks and repositories
• share rare hardware and computational resources for experimental validation
• deal with variability and rising amount of experimental data using statistical analysis, data mining, predictive modeling and other techniques
• implement previously published experimental scenarios (auto-tuning, run-time adaptation) using common infrastructure
• implement open access to publications and data (particularly discussing intellectual property IP and legal issues)
• improve reviewing and evaluation process for publications and shared artifacts
• enable interactive articles

Submission guidelines

Easychair submission website is open.

We invite papers in three categories (please use these prefixes for your submission title):

• T1: Position papers should be at most 3 pages long (excluding bibliography). We welcome preliminary and exploratory work, presentation of related tools and repositories in development, experience reports particularly related to recent research validation initiatives at OOPSLA, PDLI and ADAPT, and any related ideas.
• T2: Full papers should be at most 6 pages long (excluding bibliography). Papers in this category are expected to have relatively mature content.
• T3: Papers validating and sharing past research on design and optimization of computer systems published in relevant conferences. These papers should be at most 6 pages long (excluding bibliography).

Submissions should be in PDF formatted with double column/single-spacing using 10pt fonts and printable on US letter or A4 sized paper. All papers will be peer-reviewed. Accepted papers can be published online on the conference website that will not prevent later publication of extended papers. We currently arrange proceedings to be published in the ACM Digital Library.

Important dates

• Paper submission: March 14, 2014эээээ (Anywhere on Earth)
• Notification: April 14, 2014
• Final version: May 2, 2014
• Workshop: June 12, 2014

Workshop organizers

• Grigori Fursin (INRIA, France)
• Bruce Childers, Alex K.Jones and Daniel Mosse (University of Pittsburgh, USA)

Program committee

• Jose Nelson Amaral (University of Alberta, Canada)
• Calin Cascaval (Qualcomm, USA)
• Jack Davidson (University of Virginia, USA)
• Evelyn Duesterwald (IBM, USA)
• Lieven Eeckhout (Ghent University, Belgium)
• Eric Eide (University of Utah, USA)
• Sebastian Fischmeister (University of Waterloo, Canada)
• Michael Gerndt (TU Munich, Germany)
• Christophe Guillon (STMicroelectronics, France)
• Shriram Krishnamurthi (Brown University, USA)
• Hugh Leather (University of Edinburgh, UK)
• Anton Lokhmotov (ARM, UK)
• Mikel Lujan (University of Manchester, UK)
• David Padua (University of Illinois at Urbana-Champaign, USA)
• Christoph Reichenbach (Johann-Wolfgang Goethe Universitat Frankfurt, Germany)
• Arun Rodrigues (Sandia National Laboratories, USA)
• Reiji Suda (University of Tokyo, Japan)
• Sid Touati (INRIA, France)
• Jesper Larsson Traff (Vienna University of Technology, Austria)
• Petr Tuma (Charles University, Czech Republic)
• Jan Vitek (Purdue University, USA)
• Vladimir Voevodin (Moscow State University, Russia)
• Vittorio Zaccaria (Politecnico di Milano, Italy)
• Xiaoyun Zhu (VMware, USA)

Assorted related projects and initiatives 

• Conference Artifact Evaluation
• GCC Summit'09 discussion
• ADAPT panel on reproducible research methodologies and new publication models (January 2014)
• REPRODUCE'14 workshop at HPCA'14 (February 2014)
• HiPEAC thematic session on making computer engineering a science (2013)
• Collective Mind technology for collaborative, systematic and reproducible computer engineering
• cTuning technology to crowdsource auto-tuning and combine with machine learning (2006-2011)
• OCCAM project for reproducible computer architecture simulation
• Evaluate project
• Artifact evaluation at OOSPLA'13
• Artifact evaluation at PLDI'14
• Collaborative Workshop 2014 (CW14) - software in your reproducible research
• CARE tool from STMicroelectronics (Comprehensive Archiver for Reproducible Execution)