96 research outputs found

    TaskInsight: Understanding Task Schedules Effects on Memory and Performance

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    Recent scheduling heuristics for task-based applications have managed to improve their by taking into account memory-related properties such as data locality and cache sharing. However, there is still a general lack of tools that can provide insights into why, and where, different schedulers improve memory behavior, and how this is related to the applications' performance. To address this, we present TaskInsight, a technique to characterize the memory behavior of different task schedulers through the analysis of data reuse between tasks. TaskInsight provides high-level, quantitative information that can be correlated with tasks' performance variation over time to understand data reuse through the caches due to scheduling choices. TaskInsight is useful to diagnose and identify which scheduling decisions affected performance, when were they taken, and why the performance changed, both in single and multi-threaded executions. We demonstrate how TaskInsight can diagnose examples where poor scheduling caused over 10% difference in performance for tasks of the same type, due to changes in the tasks' data reuse through the private and shared caches, in single and multi-threaded executions of the same application. This flexible insight is key for optimization in many contexts, including data locality, throughput, memory footprint or even energy efficiency.We thank the reviewers for their feedback. This work was supported by the Swedish Research Council, the Swedish Foundation for Strategic Research project FFL12-0051 and carried out within the Linnaeus Centre of Excellence UPMARC, Uppsala Programming for Multicore Architectures Research Center. This paper was also published with the support of the HiPEAC network that received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 687698.Peer ReviewedPostprint (published version

    Spatial and Temporal Cache Sharing Analysis in Tasks

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    Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.Understanding performance of large scale multicore systems is crucial for getting faster execution times and optimize workload efficiency, but it is becoming harder due to the increased complexity of hardware architectures. Cache sharing is a key component for performance in modern architectures, and it has been the focus of performance analysis tools and techniques in recent years. At the same time, new programming models have been introduced to aid the programmer dealing with the complexity of large scale systems, simplifying the coding process and making applications more scalable regardless of resource sharing. Taskbased runtime systems are one example of this that became popular recently. In this work we develop models to tackle performance analysis of shared resources in the task-based context, and for that we study cache sharing both in temporal and spatial ways. In temporal cache sharing, the effect of data reused over time by the tasks executed is modeled to predict different scenarios resulting in a tool called StatTask. In spatial cache sharing, the effect of tasks fighting for the cache at a given point in time through their execution is quantified and used to model their behavior on arbitrary cache sizes. Finally, we explain how these tools set up a unique and solid platform to improve runtime systems schedulers, maximizing performance of execution of large-scale task-based applications.European Cooperation in Science and Technology. COSTThe work presented in this paper has been partially supported by EU under the COST programme Action IC1305,‘Network for Sustainable Ultrascale Computing (NESUS)’, and by the Swedish Research Council, carried out within the Linnaeus centre of excellence UPMARC, Uppsala Programming for Multicore Architectures Research Center

    Caracterización de aislamientos de Ralstonia Solanacearum Raza 2, agente causal de Moko de plátano, en el Valle del Cauca, Colombia = Characterizing Strains of Ralstonia Solanacearum Race 2, Causal Agent of Moko of Plantain, In Valle Del Cauca, Colombia

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    Moko is a bacterial wilt of plantain and banana, caused by Ralstonia solanacearum race 2. It is the most important disease of these crops in Colombia, affecting 125,000 families. R. solanacearum has a wide range of hosts, geographical distribution, and pathogenicity. This study aimed to isolate R. solanacearum from infected plant tissue, using SMSA medium, real-time PCR with specific TaqMan probe Mus 20P and primers Mus 20F and Mus 20RP, and duplex PCR. We then evaluated the strains pathogenicity levels. A total of 93 samples of infected plant tissue from pseudostems, rachis, and petioles of selected plantain and banana plants were obtained in Valle del Cauca. Samples were amplified with duplex PCR and real-time PCR, with specific TaqMan probe Mus 20P and specific primers Mus 20F and Mus 20RP. The strains, identified by PCR as R. solanacearum, were inoculated into plantain plants of Dominico Hartón (Musa cv. AAB). As the positive check, the pathogenic strain R. solanacearum CIAT 078 was used. An analysis of variance was carried out for the variable AUDPC with minimum significant difference (MSD; = 5%) to separate the strains into three groups of pathogenicity. Seventy-five strains were positive for real-time PCR with Ct value 25, which corresponded to the pathogen Ralstonia solanacearum. For 61 of the 75 strains obtained, the fragment was located in a gene related to chemotaxis protein, which is used to identify the strains as R. solanacearum phylotype II, measuring 500 bp, which was amplified with primers 93F/93R and 5F/5R

    Black Sigatoka in plantain and banana

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    Producing Lixiviates from plantain rachis in the Colombian coffee belt

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    Managing Moko disease of banana in Latin America and the Caribbean

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    Estudios en papaya mínimamente procesada por deshidratación osmótica

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    Se ha estudiado el efecto de tratamientos osmóticos con disoluciones de sacarosa de diferente concentración (45 y 65 ºBrix), con y sin aplicación de pulso de vacío y con y sin adición de lactato de calcio (1%), en diferentes propiedades relacionadas con la calidad de papaya, en aras a evaluar la factibilidad de utilizar estos tratamientos en la obtención de papaya mínimamente procesada. Se ha caracterizado la cinética del proceso en láminas de papaya y se ha analizado el efecto de los tratamientos, hasta alcanzar 20ºBrix la fase líquida de la fruta, sobre las propiedades fisicoquímicas, ópticas, mecánicas, tasa de respiración y carga microbiana. Del estudio cinético se deduce que la propiedad efectiva de transporte del tejido de papaya y el rendimiento del proceso aumentan cuando se utiliza la disolución osmótica más diluida y cuando se aplica pulso de vacío en presencia de calcio en la disolución. Desde este punto de vista, los tratamientos más recomendables serían con la disolución de 45 ºBrix, aplicando un pulso de vacío y adicionando calcio. Los tratamientos osmóticos comportaron cambios en la transparencia, luminosidad y pureza de color de las muestras cuando se aplicó pulso de vacío, pero no se observan cambios notables debidos a otros factores. Del estudio de las propiedades mecánicas se deduce que para preservar mejor la textura, se debe tratar a la papaya con disoluciones poco concentradas, con calcio y a presión atmosférica. Estos aspectos hacen recomendables los tratamientos a presión atmosférica, con calcio y con 45ºBrix. Los tratamientos osmóticos implicaron cambios en la pauta respiratoria del tejido de papaya, dependiendo de las condiciones de operación. Los tratamientos con pulso de vacío implican mayor restricción al transporte de oxígeno dando lugar a mayores valores del coeficiente respiratorio y a una mayor potenciación de las rutas anaerobias. El crecimiento de microorganismos en las muestras deshidratadas se inicia 3 días mas tarde que en lasCeballos Chan, GE. (2006). Estudios en papaya mínimamente procesada por deshidratación osmótica [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1885Palanci

    Manejo de Moko (Ralstonia solanacearum raza 2) en plátano

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    Invariant complex structures on 6-nilmanifolds classification, Frölicher spectral sequence and special Hermitian metrics

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    We classify invariant complex structures on 6-dimensional nilmanifolds up to equivalence. As an application, the behaviour of the associated Frölicher sequence is studied as well as its relation to the existence of strongly Gauduchon metrics. We also show that the strongly Gauduchon property and the balanced property are not closed under holomorphic deformation.Ministerio de Ciencia e Innovació
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