[hpc-announce] CORRECTNESS 2019 Deadline Extension: New Deadline August 19th, 2019

Cindy Rubio Gonzalez crubio at ucdavis.edu
Fri Aug 9 12:50:02 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 19, 2019 (previous deadline: August 9th)

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


* 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

using finite-precision floating point numbers

* Tools to control the effect of non-determinism when debugging and testing


* Scalable debugging solutions for large-scale HPC applications

* Scalable tools for model checking, verification, certification, or


* Static and dynamic analysis to test and check correctness in the entire

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 <https://staff.ucar.edu/users/altuntas>, National Center for
Atmospheric Research, USA

Allison H. Baker <https://staff.ucar.edu/users/abaker>, National Center for
Atmospheric Research, USA

John Baugh <https://www.ccee.ncsu.edu/people/jwb/>, North Carolina State
University, USA

Patrick Carribault <http://www.cea.fr/>, CEA-DAM, France

Ganesh Gopalakrishnan <https://www.cs.utah.edu/~ganesh/>, University of
Utah, USA

Jeff Huang <https://parasol.tamu.edu/~jeff/>, Texas A&M University, USA

Geoffrey C. Hulette <http://www.sandia.gov/>, Sandia National Laboratories,

Sriram Krishnamoorthy <http://hpc.pnl.gov/people/sriram/>, Pacific
Northwest National Laboratory, USA

Michael O. Lam <https://w3.cs.jmu.edu/lam2mo/>, James Madison University,

Jackson Mayo <http://www.sandia.gov/>, Sandia National Laboratories, USA

Tristan Ravitch <https://galois.com/team/tristan-ravitch/>, Galois, Inc,

Nathalie Revol <http://perso.ens-lyon.fr/nathalie.revol/>, INRIA - ENS de
Lyon, France

Emmanuelle Saillard <http://emmanuellesaillard.fr/>, INRIA Bordeaux, France

Markus Schordan <https://people.llnl.gov/schordan1>, 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).

Cindy Rubio González
Assistant Professor
Department of Computer Science
University of California, Davis

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