Correctness 2018: Second International Workshop on Software Correctness for HPC Applications

November 12, 2018 (full day)

Kay Bailey Hutchison Convention Center, Room TBD

Dallas, Texas, USA

Held in conjunction with SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis
In cooperation with

Ensuring correctness in high-performance computing (HPC) applications is one of the fundamental challenges that the HPC community faces today. While significant advances in verification, testing, and debugging have been made to isolate software errors (or defects) in the context of non-HPC software, several factors make achieving correctness in HPC applications and systems much more challenging than in general systems software—growing heterogeneity (architectures with CPUs, GPUs, and special purpose accelerators), massive scale computations (very high degree of concurrency), use of combined parallel programing models (e.g., MPI+X), new scalable numerical algorithms (e.g., to leverage reduced precision in floating-point arithmetic), and aggressive compiler optimizations/transformations are some of the challenges that make correctness harder in HPC. The following report lays out the key challenges and research areas of HPC correctness: DOE Report of the HPC Correctness Summit.

As the complexity of future architectures, algorithms, and applications in HPC increases, the ability to fully exploit exascale systems will be limited without correctness. With the continuous use of HPC software to advance scientific and technological capabilities, novel techniques and practical tools for software correctness in HPC are invaluable.

The goal of the Correctness Workshop is to bring together researchers and developers to present and discuss novel ideas to address the problem of correctness in HPC. The workshop will feature contributed papers and invited talks in this area.

Workshop Topics

Topics of interest include, but are not limited to:

Correctness in Scientific Applications and Algorithms

Tools for Debugging, Testing, and Correctness Checking

Programing Models and Runtime Systems Correctness

Other Areas

Submissions and Format

Authors are invited to submit manuscripts in English structured as technical or experience papers not exceeding 8 pages of content, including everything. Submissions must use the IEEE format.

Submitted papers must represent original unpublished research that is not currently under review for any other venue. Papers not following these guidelines will be rejected without review. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop organizers for more information. Papers should be submitted electronically at: https://submissions.supercomputing.org/?page=Submit&id=SC18WorkshopCorrectness2018Submission&site=sc18.

SC Reproducibility Initiative

We encourage authors to submit an optional artifact description (AD) appendix along with their paper, describing the details of their software environments and computational experiments to the extent that an independent person could replicate their results. The AD appendix is not included in the 8-page limit of the paper and should not exceed 2 pages of content. For more details of the SC Reproducibility Initiative please see: https://sc18.supercomputing.org/submit/sc-reproducibility-initiative/.


The proceedings will be archived in IEEE Xplore via TCHPC.

Important Dates

All time zones are AOE.


Ignacio Laguna, LLNL
Cindy Rubio-González, UC Davis

Program Committee

Eva Darulova, MPI-SWS, Germany
Ganesh Gopalakrishnan, University of Utah, USA
Paul Hovland, Argonne National Laboratory, USA
Geoff Hulette, Sandia National Laboratories, USA
Costin Iancu, Lawrence Berkeley National Laboratory, USA
Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA
Richard Lethin, Reservoir Labs, Yale University, USA
Francesco Logozzo, Facebook Research, USA
Jackson Mayo, Sandia National Laboratories, USA
John Mellor-Crummey, Rice University, USA
Matthias Müller, RWTH Aachen University, Germany
Tristan Ravitch, Galois, Inc, USA
Nathalie Revol, INRIA - ENS de Lyon, France
Markus Schordan, Lawrence Livermore National Laboratory, USA
Koushik Sen, UC Berkeley, USA
Stephen Siegel, University of Delaware, USA


Kay Bailey Hutchison Convention Center
650 S Griffin St, Dallas, TX 75202

Room: TBD



Contact Information

Please address workshop questions to Ignacio Laguna (ilaguna@llnl.gov) and/or Cindy Rubio-González (crubio@ucdavis.edu).