An emerging trend in the field of Graphics Processing Unit (GPU) computing is the harnessing of multiple devices to cope with scalability and performance requirements. However, multi-GPU execution adds new challenges ...
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ISBN:
(纸本)9781450324694
An emerging trend in the field of Graphics Processing Unit (GPU) computing is the harnessing of multiple devices to cope with scalability and performance requirements. However, multi-GPU execution adds new challenges to the already complex world of General Purpose computing on GPUs (GPGPU), such as the efficient problem decomposition, and dealing with device heterogeneity. To this extent, we propose the use of the Marrow algorithmic skeleton framework (ASkF) to abstract most of the details intrinsic to the programming of such platforms. To the best of our knowledge, Marrow is the first ASkF to support skeleton nesting on single and (now) multiple GPU systems. In this paper we present how it can transparently distribute the execution of skeleton compositions among a set of, possibly, heterogeneous devices. An experimental evaluation assesses the proposal's effectiveness, from a scalability and performance perspective, with good results. Copyright 2014 acm.
Traditional inertial-sensor-based pedometers are not user-friendly because of the limited availability of inertial sensors in existing mobile computing devices. To remedy the drawback, we propose a visual pedometer sc...
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Onto-substitutability has been shown to be intrinsic to how a domain value is considered redundant. A value is onto-substitutable if any solution involving that value remains a solution when that value is replaced by ...
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ISBN:
(纸本)9781450316569
Onto-substitutability has been shown to be intrinsic to how a domain value is considered redundant. A value is onto-substitutable if any solution involving that value remains a solution when that value is replaced by some other value. We redefine onto-substitutability to accommodate binary relationships and study its implication. Joint interchangeability, an extension of onto-substitutability to its interchangeabil-ity counterpart, emerges as one of the results. We propose a new way of removing interchangeable values by constructing a new value as an intermediate step, as well as introduce virtual interchangeability, a local reasoning that leads to joint interchangeability and allows values to be merged together. Copyright 2013 acm.
the proceedings contain 252 papers. the topics discussed include: efficient DNA sequence partitioning using probabilistic subsets and hypergraphs;natural vs balanced distribution in deep learning on whole slide images...
ISBN:
(纸本)9781450381048
the proceedings contain 252 papers. the topics discussed include: efficient DNA sequence partitioning using probabilistic subsets and hypergraphs;natural vs balanced distribution in deep learning on whole slide images for cancer detection;protein secondary structure prediction based on fusion of machine learning classifiers;stargate: remote data access between hadoop clusters;reducing cold starts during elastic scaling of containers in kubernetes;an energy saving approach: understanding microservices as multidimensional entities in P2P networks;workload classification in multi-VM cloud environment using deep neural network model;cost minimization for deploying serverless functions;a bargaining game based energy-aware load balancing in cloud data centers;low-cost automatic fish measuring estimation;topple-free foot strategy applied to real-time motion capture data using kinect sensor;and EMIDAS: explainable social interaction-based pedestrian intention detection across street.
the proceedings contain 345 papers. the topics discussed include: a method for identification of moving objects by integrative use of a camera and accelerometers;history-independence: a fresh look at the case of R-Tre...
ISBN:
(纸本)9781450308571
the proceedings contain 345 papers. the topics discussed include: a method for identification of moving objects by integrative use of a camera and accelerometers;history-independence: a fresh look at the case of R-Trees;representation and management of spatiotemporal data in object-relational databases;high level adaptive fusion approach: application to land cover change prediction in satellite image databases;multilayer fuzzy ARTMAP: fast learning and fast testing for pattern classification;an application of circumscribed circle filter in the multi-stencils fast marching method;a novel segmentation method for convex lesions based on dynamic programming with local intra-class variance;rushes video summarization based on spatio-temporal features;texture fuzzy segmentation using adaptive affinity functions;and effective radical segmentation of offline handwritten chinese characters by using an enhanced snake model and genetic algorithm.
Cloud computing (CC) has become a very popular computing model in the last decade, as it has proved to be a cost-effective alternative to large-scale computers hosted in conventional Information Technologies (IT) depa...
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ISBN:
(纸本)9781450324694
Cloud computing (CC) has become a very popular computing model in the last decade, as it has proved to be a cost-effective alternative to large-scale computers hosted in conventional Information Technologies (IT) department. the ability to provide on-demand IT-related resources either through the internet (public clouds) or private networks (private clouds) based on customer's needs, and the scalability they have to deliver resources horizontally, can be considered the main reasons for such popularity and have led such a CC platforms to a scenario involving the hosting of other types of systems, such as those that control large volume of data, like database management systems (DBMS).
In this paper we introduce a framework which facilitates policy-based decentralized authorization management in infrastructure as a service (IaaS). Specifically, our framework enables an IaaS service provider to deleg...
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Software metrics have been developed to measure the quality of software systems. A proper use of metrics requires thresholds to determine whether the value of a metric is acceptable or not. Many approaches propose to ...
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ISBN:
(纸本)9781450324694
Software metrics have been developed to measure the quality of software systems. A proper use of metrics requires thresholds to determine whether the value of a metric is acceptable or not. Many approaches propose to define thresholds based on large analyses of software systems. However it has been shown that thresholds depend greatly on the context of the project. thus there is a need for an approach that computes thresholds by taking into account this context. In this paper we propose such approach withthe objective to reach a trade-off between representativeness of the threshold and computation cost. Our approach is based on an unbiased selection of software entities and makes no assumptions on the statistical properties of the software metrics values. It can therefore be used by anyone, ranging from developer to manager, for computing a representative metric threshold tailored to their context. Copyright 2014 acm.
作者：
Baudet, ChristianDias, ZanoniINRIA Grenoble Rhône-Alpes
Laboratoire de Biométrie et Biologie Évolutive Univ. Lyon 1 43 bd 11 Nov 69622 Villeurbanne Cedex France Institute of Computing
University of Campinas - Unicamp Cidade Universitaria Av. Albert Einstein 1251 CEP 13083-970 Campinas - São Paulo Brazil
In 2008, Braga et al. proposed an algorithm to perform the enumeration of traces that sort a signed permutation by reversals. this algorithm has exponential complexity in both time and space. the original implementati...
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UML-RT is one of the languages used in the industrial practice of the model-driven development (MDD). the language is a proper profile of UML 2 and it uses UML-RT State Machines to model behavior of systems. this pape...
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