Efficient Learning Machines

Computer scienc

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp

Dynamics in Logistics

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions

The concept of 'Genetic Modification' in a Descriptive Translation Study (DTS) of an English-Spanish corpus of Popular Science Books on Genetic Engineering: Denominative Variation, Semantic Prosody and Ideological Aspects of Translation Strategies

El objetivo general consiste en examinar el concepto de 'modificación genética' a través de tres fenómenos lingüísticos: la variación denominativa, la prosodia semántica y los aspectos ideológicos de las principales estrategias de traducción. Para estudiar la variación denominativa se han seleccionado dos términos técnicos 'DNA' y 'gene/s' y dos subtécnicos 'food/s' y 'crop/s'. Para el estudio de la prosodia semántica se han analizado las concordancias de 'genetic' + N y 'genetically'`+ Adj. La comparación de las variantes denominativas y las prosodias semánticas en un corpus paralelo inglés-español de ingenería genética arrojan resultados sobre los aspectos ideológicos de las principales estrategias de traducción encontradas en el corpus.Departamento de Filología Ingles