The well-known Smith-Waterman (SW) algorithm is the most commonly used method for local sequence alignments, but its acceptance is limited by the computational requirements for large protein databases. Although the acceleration of SW has already been studied on many parallel platforms, there are hardly any studies which take advantage of the latest Intel architectures based on AVX-512 vector extensions. This SIMD set is currently supported by Intel's Knights Landing (KNL) accelerator and Intel's Skylake (SKL) general purpose processors. In this paper, we present an SW version that is optimized for both architectures: the renowned SWIMM 2.0. The novelty of this vector instruction set requires the revision of previous programming and optimization techniques. SWIMM 2.0 is based on a massive multi-threading and SIMD exploitation. It is competitive in terms of performance compared with other state-of-the-art implementations, reaching 511 GCUPS on a single KNL node and 734 GCUPS on a server equipped with a dual SKL processor. Moreover, these successful performance rates make SWIMM 2.0 the most efficient energy footprint implementation in this study achieving 2.94 GCUPS/Watts on the SKL processor.

Medical imaging has become an absolutely essential diagnostic tool for clinical practices; at present, pathologies can be detected with an earliness never before known. Its use has not only been relegated to the field of radiology but also, increasingly, to computer-based imaging processes prior to surgery. Motion analysis, in particular, plays an important role in analyzing activities or behaviors of live objects in medicine. This short paper presents several low-cost hardware implementation approaches for the new generation of tablets and/or smartphones for estimating motion compensation and segmentation in medical images. These systems have been optimized for breast cancer diagnosis using magnetic resonance imaging technology with several advantages over traditional X-ray mammography, for example, obtaining patient information during a short period. This paper also addresses the challenge of offering a medical tool that runs on widespread portable devices, both on tablets and/or smartphones to aid in patient diagnostics.

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Resumen. El presente artículo trata sobre el diseño e implementación de una orquesta sinfónica distribuida haciendo uso del paquete de Lego Mindstorms, como proyecto final enmarcado dentro de la asignatura Sistemas Empotrados Distribuidos. En esta contribución se aplican los conocimientos obtenidos en dicha asignatura, en la que se fomenta la aplicación de los mismos para la realización de proyectos novedosos. En este artículo se describen el diseño, las diversas tecnologías evaluadas y la implementación final.

Resumen. La utilización de herramientas de Síntesis de Alto Nivel (SAN) es una práctica habitual en las empresas dedicadas al diseño de circuitos. El principal beneficio de estas herramientas se basa en la reducción del "tiempo de lanzamiento al mercado", ya que permiten evaluar múltiples soluciones en un tiempo reducido. En esta contribución, se propone el uso de una herramienta de síntesis altamente visual y amigable que contenga los algoritmos clásicos para enseñar al alumno las técnicas básicas de SAN, y adicionalmente familiarizarle con el método de trabajo de las compañías de diseño de circuitos. Con esta contribución se propone ofrecer una formación más completa a los futuros graduados que cursen asignaturas del área