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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.

Papers
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Journal ArticleDOI

Supporting nested OpenMP parallelism in the TAU performance system

TL;DR: This paper describes the problem and a novel solution for identifying threads uniquely in nested OpenMP applications with nested parallelism and describes how extensions to the OpenMP standard can help tool developers uniquely identify threads.
Book ChapterDOI

Performance Analysis of OpenSHMEM Applications with TAU Commander

TL;DR: This work compares TAU and TAU Commander workflows for common performance engineering tasks in OpenSHMEM applications and demonstrates workflows targeting two different SHMEM implementations, Intel Xeon “Haswell” and “Knights Landing” processors, direct and indirect measurement methods, callsite, profiles, and traces.
Proceedings ArticleDOI

Performance Visualization for TAU Instrumented Scientific Workflows.

TL;DR: This ongoing work presents a web-based visualization framework, whose back end handles data storage, query and aggregation, while front end presents the visualization and takes user interaction, and aims to solve two current challenges: the capability to deal with workflows, and the scalability toward exascale scenario.
Journal ArticleDOI

Performance analysis of GYRO: a tool evaluation

TL;DR: The paper briefly discusses what has been discovered via this manual analysis process, what performance analyses are inconvenient or infeasible to attempt manually, and to what extent the tools show promise in accelerating or significantly extending the manual performance analyses.
Journal ArticleDOI

Using coarrays to parallelize legacy fortran applications: strategy and case study

TL;DR: This paper summarizes a strategy for parallelizing a legacy Fortran 77 program using the object-oriented (OO) and coarray features that entered Fortran in the 2003 and 2008 standards and shows linear speedup even in distributed-memory execution.