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Sameer Shende

Researcher at University of Oregon

Publications -  125
Citations -  4661

Sameer Shende is an academic researcher from University of Oregon. The author has contributed to research in topics: Instrumentation (computer programming) & Profiling (computer programming). The author has an hindex of 26, co-authored 121 publications receiving 4384 citations. Previous affiliations of Sameer Shende include Forschungszentrum Jülich & Los Alamos National Laboratory.

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Journal ArticleDOI

Checkpoint/restart approaches for a thread-based MPI runtime

TL;DR: In this paper, the authors describe the work done in MPI runtime to enable both transparent and application-level checkpointing mechanisms, and show how existing checkpointing methods can be practically applied to a thread-based MPI implementation given sufficient runtime collaboration.
Book ChapterDOI

Performance Tool Workflows

TL;DR: The user-definable tool workflow system provided by this performance framework is described and a use case featuring the TAU performance analysis system demonstrates the utility of the workflow system with respect to conventional performance analysis procedures.
Book ChapterDOI

Hands-on practical hybrid parallel application performance engineering

TL;DR: This tutorial presents state-of-the-art performance tools for leading-edge HPC systems founded on the Score-P community instrumentation and measurement infrastructure, demonstrating how they can be used for performance engineering of effective scientific applications based on standard MPI or OpenMP and now common mixed-mode hybrid parallelizations.
ReportDOI

Framework Application for Core Edge Transport Simulation (FACETS)

TL;DR: The goal of the FACETS project was to provide a multiphysics, parallel framework application (FACETS) that will enable whole-device modeling for the U.S. fusion program, to provide the modeling infrastructure needed for ITER, the next step fusion confinement device.
Journal ArticleDOI

Research Initiatives for Plug-and-Play Scientific Computing

TL;DR: Three component technology initiatives within the SciDAC Center for Technology for Advanced Scientific Component Software (TASCS) that address ever- increasing productivity challenges in creating, managing, and applying simulation software to scientific discovery are introduced.