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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20131117T153000Z
DTEND:20131118T000000Z
LOCATION:404
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.=0A=0AWe 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.
SUMMARY:Debugging MPI and Hybrid/Heterogeneous Applications at Scale
PRIORITY:3
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