Ara es mostren els items 13-26 de 26

    • Methodology to predict scalability of parallel applications 

      Rosas, Claudia; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Barcelona Supercomputing Center, 2015-05-05)
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      In the road to exascale computing, the inference of expected performance of parallel applications results in a complex task. Performance analysts need to identify the behavior of the applications and to extrapolate it to ...
    • On the usefulness of object tracking techniques in performance analysis 

      Llort Sánchez, Germán; Servat, Harald; González García, Juan; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Association for Computing Machinery (ACM), 2013)
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      Understanding the behavior of a parallel application is crucial if we are to tune it to achieve its maximum performance. Yet the behavior the application exhibits may change over time and depend on the actual execution ...
    • On-line detection of large-scale parallel application's structure 

      Llort Sánchez, Germán; González García, Juan; Servat, Harald; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2010)
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      With larger and larger systems being constantly deployed, trace-based performance analysis of parallel applications has become a daunting task. Even if the amount of performance data gathered per single process is ...
    • Organization component analysis: The method for extracting insights from the shape of cluster 

      Mahdavi, Kaveh; Labarta Mancho, Jesús José; Giménez Lucas, Judit (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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      Clustering analysis is widely used to stratify data in the same cluster when they are similar according to specific metrics. The process of understanding and interpreting clusters is mostly intuitive. However, we observe ...
    • Performance analysis of parallel Python applications 

      Wagner, Michael; Llort Sánchez, Germán Matias; Mercadal Melia, Estanislao; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Elsevier, 2017)
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      Python is progressively consolidating itself within the HPC community with its simple syntax, large standard library, and powerful third-party libraries for scientific computing that are especially attractive to domain ...
    • Performance data extrapolation in parallel codes 

      González García, Juan; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2010)
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      Measuring the performance of parallel codes is a compromise between lots of factors. The most important one is which data has to be analyzed. Current supercomputers are able to run applications in large number of processors ...
    • Scalability analysis of Dalton, a molecular structure program 

      Aguilar, Xavier; Schliephake, Michael; Vahtras, Olav; Giménez Lucas, Judit; Laure, Erwin (Elsevier, 2013-10)
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      Dalton is a molecular electronic structure program featuring common methods of computational chemistry that are based on pure quantum mechanics (QM) as well as hybrid quantum mechanics/molecular mechanics (QM/MM). It is ...
    • Scalability prediction for fundamental performance factors 

      Rosas Mendoza, Claudia; Giménez Lucas, Judit; Labarta Mancho, Jesús José (2014-06)
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      Inferring the expected performance for parallel applications is getting harder than ever; applications need to be modeled for restricted or nonexistent systems and performance analysts are required to identify and extrapolate ...
    • Scaling Dalton: a molecular electronic structure program 

      Aguilar, Xavier; Schliepake, Michael; Vahtras, Olav; Giménez Lucas, Judit; Laure, Erwin (Institute of Electrical and Electronics Engineers (IEEE), 2011)
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      Dalton is a molecular electronic structure program featuring common methods of computational chemistry that are based on pure quantum mechanics (QM) as well as hybrid quantum mechanics/molecular mechanics (QM/MM). It is ...
    • Simulating whole supercomputer applications 

      González García, Juan; Casas, Marc; Giménez Lucas, Judit; Moretó Planas, Miquel; Ramírez Bellido, Alejandro; Labarta Mancho, Jesús José; Valero Cortés, Mateo (2011-06)
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      Detailed simulations of large scale message-passing interface parallel applications are extremely time consuming and resource intensive. A new methodology that combines signal processing and data mining techniques plus a ...
    • Studying performance changes with tracking analysis 

      Llort Sánchez, Germán; Servat, Harald; Gonzalez Garcia, Juan; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Springer, 2015)
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      Numerical simulation and modelling using High Performance Computing has evolved into an established technique in academic and industrial research. At the same time, the High Performance Computing infrastructure is becoming ...
    • The HOPSA workflow and tools 

      Mohr, Bernd; Voevedin, Vladimir; Giménez Lucas, Judit; Hagersten, Erik; Knüpfer, Andreas; Nikitenko, Dmitry A.; Nilsson, Mats; Servat, Harald; Shah, Aamer; Winkler, Frank; Wolf, Felix; Zhukov, Ilya (Springer, 2012)
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      To maximise the scientific output of a high-performance computing system, different stakeholders pursue different strategies. While individual application developers are trying to shorten the time to solution by optimising ...
    • Trace spectral analysis toward dynamic levels of detail 

      Llort Sánchez, Germán; Casas, Marc; Servat, Harald; Huck, Kevin A.; Giménez Lucas, Judit; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2011)
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      The emergence of Petascale systems has raised new challenges to performance analysis tools. Understanding every single detail of an execution is important to bridge the gap between the theoretical peak and the actual ...
    • Unveiling internal evolution of parallel application computation phases 

      Servat, Harald; Llort Sánchez, Germán; Giménez Lucas, Judit; Huck, Kevin A.; Labarta Mancho, Jesús José (Institute of Electrical and Electronics Engineers (IEEE), 2011)
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      As access to supercomputing resources is becoming more and more commonplace, performance analysis tools are gaining importance in order to decrease the gap between the application performance and the supercomputers' peak ...