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Allen D. Malony
Researcher at University of Oregon
Publications - 309
Citations - 6670
Allen D. Malony 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 36, co-authored 298 publications receiving 6335 citations. Previous affiliations of Allen D. Malony include Sandia National Laboratories & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
The Tau Parallel Performance System
Sameer Shende,Allen D. Malony +1 more
TL;DR: This paper presents the TAU (Tuning and Analysis Utilities) parallel performance sytem and describes how it addresses diverse requirements for performance observation and analysis.
Book ChapterDOI
Score-P: A Joint Performance Measurement Run-Time Infrastructure for Periscope, Scalasca, TAU, and Vampir
Andreas Knüpfer,Christian Rössel,Dieter an Mey,Scott Biersdorff,Kai Diethelm,Dominic Eschweiler,Markus Geimer,Michael Gerndt,Daniel Lorenz,Allen D. Malony,Wolfgang E. Nagel,Yury Oleynik,Peter Philippen,Pavel Saviankou,Dirk Schmidl,Sameer Shende,Ronny Tschüter,Michael Wagner,Bert Wesarg,Felix Wolf +19 more
TL;DR: This paper gives an overview about the Score-P performance measurement infrastructure and contains first evaluation results in comparison with existing performance tools and presents an outlook to the long-term cooperative development of the new system.
Journal ArticleDOI
A Component Architecture for High-Performance Scientific Computing
Benjamin A. Allan,Robert C. Armstrong,David E. Bernholdt,Felipe Bertrand,Kenneth Chiu,Tamara L. Dahlgren,Kostadin Damevski,Wael R. Elwasif,T Epperly,Madhusudhan Govindaraju,Daniel S. Katz,James Arthur Kohl,Manojkumar Krishnan,Gary Kumfert,J. Walter Larson,Sophia Lefantzi,Michael J. Lewis,Allen D. Malony,Lois C. Mclnnes,Jarek Nieplocha,Boyana Norris,Steven G. Parker,Jaideep Ray,Sameer Shende,Theresa L. Windus,Shujia Zhou +25 more
TL;DR: The Common Component Architecture (CCA) provides a means for software developers to manage the complexity of large-scale scientific simulations and to move toward a plug-and-play environment for high-performance coputing.
Book ChapterDOI
ParaProf : A Portable, Extensible, and Scalable Tool for Parallel Performance Profile Analysis
TL;DR: ParaProf is presented as a parallel profile analysis framework that can be retargeted and extended as required, and its novel support for large-scale parallel analysis demonstrated with a 512-processor application profile generated using the TAU performance system.
Journal ArticleDOI
Performance measurement intrusion and perturbation analysis
TL;DR: In this paper, the authors study the instrumentation perturbations of software event tracing on the Alliant FX/80 vector multiprocessor in sequential, vector, concurrent, and vector-concurrent modes.