[hpc-announce] Deadline approaching: Correctness 2019 @ SC19

Laguna Peralta, Ignacio lagunaperalt1 at llnl.gov
Tue Aug 6 10:57:27 CDT 2019

                             CALL FOR PAPERS

      Third International Workshop on Software Correctness for HPC
                   Applications (Correctness 2019)

     In conjunction with SC19: The International Conference for High
   Performance Computing, Networking, Storage and Analysis, November 18,
        2019, Denver, Colorado, USA. In cooperation with IEEE TCHPC.



Paper submissions due: August 9, 2019
Notification of acceptance: September 20, 2019
Camera-ready papers due (firm): October 8, 2019


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 DOE report lays out the 
key challenges and research areas of HPC correctness:

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.


Topics of interest include, but are not limited to:

* Formal methods and rigorous mathematical techniques for correctness in 
HPC applications
* Frameworks to address the challenges of testing complex HPC 
applications (e.g., multiphysics applications)
* Approaches for the specification of numerical algorithms with the goal 
of correctness checking
* Error identification in the design and implementation of numerical 
algorithms using finite-precision floating point numbers
* Tools to control the effect of non-determinism when debugging and 
testing HPC software
* Scalable debugging solutions for large-scale HPC applications
* Scalable tools for model checking, verification, certification, or 
symbolic execution
* Static and dynamic analysis to test and check correctness in the 
entire HPC software ecosystem
* Predictive debugging and testing approaches to forecast the occurrence 
of errors in specific conditions
* Machine learning and anomaly detection for bug detection and localization
* Correctness in emerging HPC programming models
* Analysis of software error propagation and error handling in HPC 
runtime systems and libraries
* Metrics to measure the degree of correctness of HPC software
* Specifications to check the correctness of runtime systems
* Large databases of bug reports and/or reproducible test cases of HPC 
* Benchmarks to test the effectiveness of HPC correctness tools


The proceedings will be archived in IEEE Xplore via TCHPC.

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.


Ignacio Laguna, LLNL
Cindy Rubio-González, UC Davis

Program Committee

Alper Altuntas, National Center for Atmospheric Research, USA
Allison H. Baker, National Center for Atmospheric Research, USA
John Baugh, North Carolina State University, USA
Patrick Carribault, CEA-DAM, France
Ganesh Gopalakrishnan, University of Utah, USA
Jeff Huang, Texas A&M University, USA
Geoffrey C. Hulette, Sandia National Laboratories, USA
Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA
Michael O. Lam, James Madison University, USA
Jackson Mayo, Sandia National Laboratories, USA
Tristan Ravitch, Galois, Inc, USA
Nathalie Revol, INRIA - ENS de Lyon, France
Emmanuelle Saillard, INRIA Bordeaux, France
Markus Schordan, Lawrence Livermore National Laboratory, USA


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

More information about the hpc-announce mailing list