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.
Topics of interest include, but are not limited to:
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 will be peer-reviewed by the Program Committee and accepted papers will be published by IEEE Xplore via TCHPC.
Submitted papers must represent original unpublished research that is not currently under review for any other venue.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/.
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://sc19.qltdclient.com/submit/reproducibility-initiative/.
The proceedings will be archived in IEEE Xplore via TCHPC.
All time zones are AOE.
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
The Colorado Convention Center
700 14th St, Denver, CO 80202
Keynote Speaker 1 (Morning Session)
Bio: Alex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages. He is an ACM Fellow, a recipient of ACM SIGPLAN’s Programming Languages Achievement Award and Phi Beta Kappa’s Teaching Award, and a former chair of the Stanford Computer Science Department.
Keynote Speaker 2 (Afternoon Session)
Bio: Allison Baker is a Project Scientist III at the National Center for Atmospheric Research (NCAR). Her research interests include high-performance computing, performance analysis, iterative linear solvers, Earth System models, data compression, and verification techniques. She earned her B.S. in Mechanical Engineering from Rice University and her Ph.D. in Applied Mathematics from the University of Colorado in 2003. Then she joined the Center for Applied Scientific Computing at Livermore National Laboratory, where she made contributions to parallel algebraic multigrid methods and preparations for exascale computing as part of the HYPRE solvers team. In 2012, she joined the Application Scalability and Performance group at NCAR and works primarily on improvement efforts for the the Community Earth System Model (CESM). Most recently, she has led the development of tools for determining whether CESM climate runs are statistically distinguishable (for scenarios where bit-for-bit reproducibility is not possible) and an investigation into the feasibility and science implications of applying lossy data compression to CESM output data.
Invited Industry Talk (Afternoon Session)
|09:00am - 09:05am: Opening remarks|
|09:05am - 10:00am: Keynote Speaker 1: Alex Aiken (Stanford University)|
|10:00am - 10:30am: Break (coffee provided by SC19)|
|10:30am - 11:00am: "Debugging and optimization of HPC programs with the Verrou tool", Bruno Lathuilière, François Fevotte|
|11:00am - 11:30am: "Exploring Regression of Data Race Detection Tools Using DataRaceBench", Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin|
|11:30am - 12:00pm: "Toward Multi-Precision, Multi-Format Numerics", David Thien, Bill Zorn, Pavel Panchekha, Zachary Tatlock|
|12:00pm - 12:30pm: "Tool Integration for Source-Level Mixed Precision", Michael O. Lam, Tristan Vanderbruggen, Harshitha Menon, Markus Schordan|
|12:30pm - 02:00pm: Lunch (on your own)|
|02:00pm - 03:00pm: Keynote Speaker 2: Allison Baker (NCAR)|
|03:00pm - 03:30pm: Break (coffee provided by SC19)|
|03:30pm - 04:30pm: Taming the Digital Wild West: Using Domain Specific Languages to Enforce Correctness Properties in Data Science, Machine Learning, and Scientific Modeling , Galois, Inc.|
|04:30pm - 05:00pm: "Bounded Verification of Sparse Matrix Computations", Tristan Dyer, Alper Altuntas, John Baugh|
|05:00pm - 05:30pm: "Investigating the Impact of Mixed Precision on Correctness for a Large Climate Code", Daniel J. Milroy, Allison H. Baker, John M. Dennis, Andrew Gettelman, Dorit M. Hammerling|
Please address workshop questions to Ignacio Laguna (email@example.com) and/or Cindy Rubio-González (firstname.lastname@example.org).