Exploració per autor "Giménez Lucas, Judit"
Ara es mostren els items 6-25 de 26
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Detailed and simultaneous power and performance analysis
(2016-02)
Article
Accés obertOn the road to Exascale computing, both performance and power areas are meant to be tackled at different levels, from system to processor level. The processor itself is the main responsible for the serial node performance ... -
Detailed performance analysis using coarse grain sampling
(Springer, 2014)
Text en actes de congrés
Accés restringit per política de l'editorialPerformance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detailed information beyond the monitored regions ... -
Estimation of MPI application performance on volunteer environments
(Springer, 2011)
Text en actes de congrés
Accés restringit per política de l'editorialEmerging MPI libraries, such as VolpexMPI and P2P MPI, allow message passing parallel programs to execute effectively in heterogeneous volunteer environments despite frequent failures. However, the performance of message ... -
Feature space curvature map: A method to homogenize cluster densities
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertThe majority of density-based clustering algorithms can not perform properly when data expose very different density through the feature space. These algorithms implicitly presume that all clusters almost have the same ... -
Framework for a productive performance optimization
(2013-08)
Article
Accés restringit per política de l'editorialModern supercomputers deliver large computational power, but it is difficult for an application to exploit such power. One factor that limits the application performance is the single node performance. While many performance ... -
Guided performance analysis combining profile and trace tools
(Springer, 2010)
Text en actes de congrés
Accés restringit per política de l'editorialPerformance analysis is very important to understand the applications’ behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the ... -
Identifying code phases using piece-wise linear regressions
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialNode-level performance is one of the factors that may limit applications from reaching the supercomputers' peak performance. Studying node-level performance and attributing it to the source code results into valuable insight ... -
Methodology to predict scalability of parallel applications
(Barcelona Supercomputing Center, 2015-05-05)
Text en actes de congrés
Accés obertIn 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
(Association for Computing Machinery (ACM), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialUnderstanding 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
(Institute of Electrical and Electronics Engineers (IEEE), 2010)
Text en actes de congrés
Accés restringit per política de l'editorialWith 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
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertClustering 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
(Elsevier, 2017)
Text en actes de congrés
Accés obertPython 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
(Institute of Electrical and Electronics Engineers (IEEE), 2010)
Text en actes de congrés
Accés restringit per política de l'editorialMeasuring 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
(Elsevier, 2013-10)
Article
Accés restringit per política de l'editorialDalton 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
(2014-06)
Article
Accés obertInferring 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
(Institute of Electrical and Electronics Engineers (IEEE), 2011)
Text en actes de congrés
Accés restringit per política de l'editorialDalton 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
(2011-06)
Article
Accés restringit per política de l'editorialDetailed 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
(Springer, 2015)
Capítol de llibre
Accés obertNumerical 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
(Springer, 2012)
Text en actes de congrés
Accés restringit per política de l'editorialTo 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
(Institute of Electrical and Electronics Engineers (IEEE), 2011)
Text en actes de congrés
Accés restringit per política de l'editorialThe 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 ...
