SCHEDULE: NOV 16-22, 2013
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Debugging MPI and Hybrid/Heterogeneous Applications at Scale
SESSION: Debugging MPI and Hybrid/Heterogeneous Applications at Scale
EVENT TYPE: Tutorials
TIME: 8:30AM - 5:00PM
Presenter(s):Ganesh Gopalakrishnan, David Lecomber, Matthias S. Mueller, Bronis R. de Supinski, Tobias Hilbrich
ROOM:404
ABSTRACT:
MPI programming is error prone due to the complexity of MPI semantics and the difficulties of parallel programming. Increasing heterogeneity (e.g., MPI plus OpenMP/CUDA), scale, non-determinism, and platform dependent bugs exacerbate these difficulties. This tutorial covers the detection/correction of errors in MPI programs at small and large scale, as well as for heterogeneous/hybrid programs. We will first introduce our main tools: MUST, that detects MPI usage errors at runtime with a high degree of automation; ISP/DAMPI, that detects interleaving-dependent MPI deadlocks and assertion violations through application replay; and DDT, a highly scalable parallel debugger. Attendees will be encouraged to explore our tools early during the tutorial to better appreciate their strengths/limitations. We will present best practices and a cohesive workflow for comprehensive application debugging with all our tools.
We dedicate the afternoon session to advanced use-cases, tool deployment on Leadership-Scale systems, updates on new tool functionality, and for the debugging of hybrid/heterogeneous programming models. The latter includes debugging approaches for MPI, OpenMP, and CUDA and is especially crucial for systems such as Titan (ORNL) and Sequoia (LLNL). DDTs capabilities for CUDA/OpenMP debugging will be presented, in addition to a short introduction to GKLEE, a new symbolic verifier for CUDA applications.
Chair/Presenter Details:
Ganesh Gopalakrishnan - University of Utah
David Lecomber - Allinea Software
Matthias S. Mueller - RWTH Aachen University
Bronis R. de Supinski - Lawrence Livermore National Laboratory
Tobias Hilbrich - Dresden University of Technology
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