Andrea Arteaga

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In view of the rapid rise of the number of cores in modern supercomputers, time-parallel methods that introduce concurrency along the temporal axis are becoming increasingly popular. For the solution of time-dependent partial differential equations, these methods can add another direction for concurrency on top of spatial parallelization. The paper presents(More)
matlab ⃝ stores matrices and others data structures into binary files which we call MAT-files. They represent an efficient and powerful way for data exchange between C++ programs and matlab ⃝ or other C++ programs. We propose an easy-to-use C++ library for input and output operations to share data in matrix form. 1 Description of the problem In the field of(More)
Designing a partial differential equations solver is a complex task which involves making choices about the solution algorithm and its parameters. Such choices are usually done on the basis of personal preference or numerical experiments, which can introduce significant bias on the selection process. In this work we develop a methodology to drive this(More)
Bit-reproducibility has many advantages in the context of high-performance computing. Besides simplifying and making more accurate the process of debugging and testing the code, it can allow the deployment of applications on heterogeneous systems, maintaining the consistency of the computations. In this work we analyze the basic operations performed by(More)
Most studies of parenting children with Down syndrome (DS) have been conducted in industrialized countries. They suggest that sensitive communication on the part of professionals, and social support, can lead to acceptance and positive adjustments in the family. This study examined the impact of a diagnosis of DS on Ecuadorian families, in particular at how(More)
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