Titlebook: High Performance Computing Systems; 19th Symposium, WSCA Calebe Bianchini,Carla Osthoff,Renato Ferreira Conference proceedings 2020 Springe

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Analysis of Virtualized Congestion Control in Applications Based on Hadoop MapReduce network flows of different volume and periodicity. In this regard, providers have the challenge of managing data centers with a wide range of operating systems and features. The diversity of algorithms and parameters related to TCP constitutes a heterogeneous communication scenario prone to degrada

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SMCis: Scientific Applications Monitoring and Prediction for HPC Environmentscurrent barriers to achieve the computational exascale. However, this imposes some challenging tasks, such as to monitor a wide range of parameters in heterogeneous environments, to enable fine grained profiling and power consumed across different components, to be language independent and to avoid

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Video7 Extended Architecture: Project Design and Statistical Analysista. As options for the storage, there are non-relational databases (NoSQL). The diversity of existing systems provokes the interest in proposing an architecture for the management of that content, in different types of databases. This work deepens the Video7 architecture for storing and retrieving s

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Parallel Stream Processing with MPI for Video Analytics and Data Visualizationtream processing can be implemented for handling high frequency and big data flows. The MPI parallel programming model offers low-level and flexible mechanisms for dealing with distributed architectures such as clusters. This paper aims to use it to accelerate video analytics and data visualization

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Tangible Assets to Improve Research Quality: A Meta Analysis Case Studydated and reported. This meta-analysis extract from these papers terms (keywords) belonging to three categories: statistics, metrics and tests. From all 426 papers analyzed, 93% referred at least one of the terms considered, indicating that there is a concern that results should be reported in order

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A GPU-Based Parallel Reduction Implementation be performed in parallel when multiple processing units are available. This work presents a GPU-based approach for parallel reduction, which employs techniques like ., . and .. It avoids thread divergence and it is able to surpass the methods currently in use. Experiments conducted to evaluate the

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Evaluating Cache Line Behavior Predictors for Energy Efficient Processorshe systems, are leading into a crescent static energy consumption. In order to save some of this energy and optimize its component performance, many techniques were proposed. Cache line reuse predictors and dead line predictors are some examples. These mechanisms predict whenever a cache line shall