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IEEE Conference on Computational Intelligence and Games (CIG)

作者： Scales, Daniel Thompson, Tommy Univ Derby Sch Comp & Math Derby DE22 1GB England

ISBN: (纸本)9781479935475

This paper describes the Spelunkbots API, a proposed benchmark for computational and articial intelligence algorithms. The benchmark, developed by the authors, is an API designed to allow for AI controllers to be written for the game Spelunky: a challenging 2D platforming game that requires players to commit quick reactive behaviours as well as long-term deliberation in order to maximise reward and minimise completion time. In this paper we highlight the features of the Spelunky game and a rationale for its relevance as an AI benchmark. Followed by a description of how the original Spelunky source code has been modified to provide a testing environment for bots. As well as some examples of simple hand-written bots, we discuss the relevance of this benchmark in the context of current AI methods.

关键词： Artificial Insemination Artificial Intelligence BENCHMARKS TEST ENVIRONMENT application programming interfaces AXIAL POWER INDICATOR API American Petroleum Institute Completion time Players Hunting Game theory Game animals WELLS

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High-productivity Framework on GPU-rich Supercomputers for Operational Weather Prediction Code ASUCA 14

High-productivity Framework on GPU-rich Supercomputers for O...

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International Conference on High Performance Computing, Networking, Storage and Analysis

作者： Shimokawabe, Takashi Aoki, Takayuki Onodera, Naoyuki Tokyo Inst Technol Meguro Ku 2-12-1 Ookayama Tokyo Japan

ISBN: (纸本)9781479955008

The weather prediction code demands large computational performance to achieve fast and high-resolution simulations. Skillful programming techniques are required for obtaining good parallel efficiency on GPU supercomputers. Our framework-based weather prediction code ASUCA has achieved good scalability with hiding complicated implementation and optimizations required for distributed GPUs, contributing to increasing the maintainability;ASUCA is a next-generation highresolution meso-scale atmospheric model being developed by the Japan Meteorological Agency. Our framework automatically translates user-written stencil functions that update grid points and generates both GPU and CPU codes. User-written codes are parallelized by MPI with intra-node GPU peer-to-peer direct access. These codes can easily utilize optimizations such as overlapping technique to hide communication overhead by computation. Our simulations on the GPU-rich supercomputer TSUBAME 2.5 at the Tokyo Institute of Technology have demonstrated good strong and weak scalability achieving 209.6 TFlops in single precision for our largest model using 4,108 NVIDIA K20X GPUs.

关键词： application program interfaces geophysics computing graphics processing units mainframes message passing parallel machines peer-to-peer computing CPU codes GPU codes GPU-rich supercomputer TSUBAME 2.5 Japan Meteorological Agency MPI NVIDIA K20X GPU Tokyo Institute of Technology high-productivity framework intranode GPU peer-to-peer direct access next-generation high resolution meso-scale atmospheric model operational weather prediction code ASUCA parallel efficiency skillful programming techniques user-written codes Atmospheric modeling Computational modeling Graphics processing units Mathematical model Numerical models programming Weather forecasting message passing weather forecasting Graphics Processing Unit Atmospheric models Mainframes application programming interfaces geophysics computing Peer to peer computing mannose phosphate isomerase remote procedure calls parallel machines Computational modeling numerical models supercomputer programming

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THE MOTIF OF THE "MUTILATED HERO" IN HERODOTUS

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PHOENIX-THE JOURNAL OF THE CLASSICAL ASSOCIATION OF CANADA 2014年第1-2期68卷 47-+页

作者： Felton, D. Univ Massachusetts Class Dept Amherst MA 01003 USA

Herodotus rarely mentions specific wounds. This paper discusses the importance of thigh wounds suffered by Cambyses, Histiaeus, Cleomenes, and Miltiades, placing them in the context of the traditional folkloric motif of the "mutilated hero," showing that Herodotus intentionally chose certain wounds to stress the theme of transgression and its consequences.

关键词： Thigh Wounds Narratives Impotence Folklore Motifs application programming interfaces Classical literature Castration Symbolism

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Mining Twitter Data with Resource Constraints

Mining Twitter Data with Resource Constraints

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IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (WI-IAT)

作者： Valkanas, George Katakis, Ioannis Gunopulos, Dimitrios Stefanidis, Antony Univ Athens GR-10679 Athens Greece George Mason Univ Fairfax VA 22030 USA

ISBN: (纸本)9781479941438

Social media analysis constitutes a scientific field that is rapidly gaining ground due to its numerous research challenges and practical applications, as well as the unprecedented availability of data in real time. Several of these applications have significant social and economical impact, such as journalism, crisis management, advertising, etc. However, two issues regarding these applications have to be confronted. The first one is the financial cost. Despite the abundance of information, it typically comes at a premium price, and only a fraction is provided free of charge. For example, Twitter, a predominant social media online service, grants researchers and practitioners free access to only a small proportion (1%) of its publicly available stream. The second issue is the computational cost. Even when the full stream is available, off the shelf approaches are unable to operate in such settings due to the real-time computational demands. Consequently, real world applications as well as research efforts that exploit such information are limited to utilizing only a subset of the available data. In this paper, we are interested in evaluating the extent to which analytical processes are affected by the aforementioned limitation. In particular, we apply a plethora of analysis processes on two subsets of Twitter public data, obtained through the service's sampling API's. The first one is the default 1% sample, whereas the second is the Gardenhose sample that our research group has access to, returning 10% of all public data. We extensively evaluate their relative performance in numerous scenarios.

关键词： application program interfaces data mining pricing social networking (online) Garden hose sample Twitter public data computational cost financial cost mining Twitter data premium price resource constraints service sampling API social media analysis social media online service Correlation Crisis management Event detection Media Real-time systems Sentiment analysis Twitter Social Media Costs crisis management application programming interfaces TWITTER Event detection real-time systems Pricing data mining Sentiment analysis

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GLSL in Batch Image Processing 5

GLSL in Batch Image Processing

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5th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Tornai, Robert Papp, Ildik Kunkli, Roland Univ Debrecen Fac Informat Kassai Ut 26 H-4028 Debrecen Hungary

ISBN: (纸本)9781479972807

This demo considers the construction of an image processing software system for collaborative work in networked environment. This system relies on OpenGL and its GLSL subsystem. Unfortunately, even commercial softwares use OpenGL only for rotating and zooming. Moreover, there is a feature that almost all of the image editing softwares are missing: if the distortion of the transfer curve of the printing process is known, the edited picture may be predistorted before applying the final step for linear image transfer [1]. In the case of medical pictures (e.g.: color fundus images), sharpening, edge detection, contrast enhancement, contrast limited adaptive histogram equalization, gray world normalization, histogram equalization or intensity adjustment tasks arise [2]. The speed up factor is the primary concern for the batch processing, while the software is targeted to fulfill the demands for one image in real time.

关键词： application program interfaces edge detection graphics processing units image enhancement GLSL subsystem OpenGL batch image processing collaborative work commercial softwares contrast enhancement contrast limited adaptive histogram equalization gray world normalization image editing softwares image processing software system linear image transfer medical picture sharpening networked environment printing process transfer curve distortion Batch production systems Benchmark testing Conferences Histograms Image color analysis Software Edge detection Printing process Cooperative work application programming interfaces Benchmark testing computer software image colour analysis histograms Batch production systems contrast enhancement image enhancement transfer curve Commercial software Batch processing

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Linux's Processor Affinity API, Refined: Shifting Real-Time Tasks towards Higher Schedulability 35

Linux's Processor Affinity API, Refined: <i>Shifting</i> Rea...

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35th IEEE Real-Time Systems Symposium (RTSS)

作者： Cerqueira, Felipe Gujarati, Arpan Brandenburg, Bjoern B. Max Planck Inst Software Syst MPI SWS Saarbrucken Germany

ISBN: (纸本)9781479972876

Virtually all major real-time operating systems such as QNX, VxWorks, LynxOS, and most real-time variants of Linux expose processor affinity APIs to restrict task migrations. Initially motivated by throughput and isolation reasons, the ability to flexibly control migrations on a per-task basis has also proved to be useful from a schedulability perspective. However, as the motivation to use processor affinities is highly application-specific, the two interests can conflict, i.e., the fixed, user-specified processor affinities chosen for non-schedulability reasons can actually limit any possible gains in schedulability. This paper specifically addresses the scenario where processor affinities are given as input, and investigates the following question: while maintaining API compatibility (i.e., without changing the interface exposed to the programmer), is it possible to improve schedulability beyond what Linux and Linux-like systems currently offer, without violating the original affinity restrictions? To answer this question, we explore the similarities between priority-based scheduling with processor affinities and the assignment problem with seniority and job priority constraints, studied previously by Caron et al. in an operations-research context, to derive a more generic model of migrations. Based on vertex-weighted bipartite matchings, the proposed model exploits the idea of shifting high-priority tasks among processors in their affinity set, in order to accommodate lower-priority tasks that have more constrained processor affinities. The proposed approach is analyzed with a novel shifting-aware schedulability analysis based on linear programming. An empirical evaluation in terms of schedulability shows shifting to be effective, although performance naturally degrades if migration overheads are high.

关键词： Linux application program interfaces linear programming processor scheduling real-time systems API compatibility Linux processor affinity Linux-like systems LynxOS QNX VxWorks assignment problem constrained processor affinities high-priority tasks shifting higher schedulability job priority constraints nonschedulability operations-research context priority-based scheduling real-time operating systems real-time task shifting shifting-aware schedulability analysis user-specified processor affinities vertex-weighted bipartite matchings Bipartite graph Context Dynamic scheduling Processor scheduling Real-time systems Runtime multiprocessor real-time scheduling processor affinities schedulability analysis vertex-weighted bipartite matching Linux scheduling of multiprocessor real-time systems linear programming application programming interfaces real time operating system PROCESSOR Bipartite graph dynamic scheduling Runtime

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Reusing Automatic Speech Recognition Platform for Resource Deficient Languages 8

Reusing Automatic Speech Recognition Platform for Resource D...

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8th International Conference on Signal Processing and Communication Systems, (ICSPCS)

作者： Patel, Chirag Kopparapu, Sunil TCS Innovat Labs Mumbai TCS Yantra Pk Thane West India

ISBN: (纸本)9781479952557

Indian subcontinent is diverse with several spoken languages in use and a wide range in literacy levels of the inhabitants. In this scenario, speech recognition based solution fits best to enable all strata of population access information. While speech recognition based solutions in the Western countries have moved into commercial use, they are far from being used in Indian scenario, mainly due to lack of language resources. Automatic Speech Recognition (ASR) for Indian languages, including Indian English for India specific conditions is still maturing. In this paper, we show how existing resources can be effectively reused, to build usable speech based solution for resource deficient languages. We specifically employ PocketSphinx and Google Speech API to evaluate our ideas.

关键词： application program interfaces natural language processing speech recognition ASR Google Speech API India specific conditions Indian English Indian languages Indian subcontinent PocketSphinx Western countries automatic speech recognition platform language resources resource deficient languages speech based solution speech recognition based solution speech recognition based solutions Accuracy Acoustics Computational modeling Google Speech Speech processing Speech recognition Speech recognition application programming interfaces Western Europe Southern Asia Speech processing aquifer storage and recovery Natural Language Processing Computational modeling Acoustics Speech Language Google

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Configuration of Smart Environments Made Simple Combining Visual Modeling with Semantic Metadata and Reasoning

Configuration of Smart Environments Made Simple Combining Vi...

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International Conference on the Internet of Things (IOT)

作者： Mayer, Simon Inhelder, Nadine Verborgh, Ruben Van de Walle, Rik Mattern, Friedemann Swiss Fed Inst Technol Inst Pervas Comp Zurich Switzerland Ghent Univ iMinds Multimedia Lab Ghent Belgium

ISBN: (纸本)9781479951543

We present an approach that combines semantic metadata and reasoning with a visual modeling tool to enable the goal-driven configuration of smart environments for end users. In contrast to process-driven systems where service mashups are statically defined, this approach makes use of embedded semantic API descriptions to dynamically create mashups that fulfill the user's goal. The main advantage of the presented system is its high degree of flexibility, as service mashups can adapt to dynamic environments and are fault-tolerant with respect to individual services becoming unavailable. To support end users in expressing their goals, we integrated a visual programming tool with our system. This tool enables users to model the desired state of their smart environment graphically and thus hides the technicalities of the underlying semantics and the reasoning. Possible applications of the presented system include the configuration of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains.

关键词： application program interfaces fault tolerance home computing inference mechanisms meta data visual programming dynamic environments embedded semantic API descriptions fault-tolerant goal-driven configuration process-driven systems reasoning semantic metadata service mashups smart environment smart homes visual modeling visual programming tool Cognition Context Internet of things Mashups Semantics Thermostats Visualization Fault tolerance PLUG-IN Metadata Reasoning Smart homes visual programming Semantics application programming interfaces Home Computers thermostats Inference mechanisms Internet of things Visualization Cognition Flexibility

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Acquisition of Meteorological Data for the Tunnel Simulator

Acquisition of Meteorological Data for the Tunnel Simulator

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ELEKTRO 10th International Conference

作者： Miklosik, Igor Spalek, Juraj Univ Zilina Fac Elect Engn Dept Control & Informat Syst Zilina Slovakia

ISBN: (纸本)9781479937219

This paper deals with obtaining the meteorological data (temperature, wind speed, wind direction, clouds coverage, sun rise, sun set) from the internet weather servers through free weather API functions in XML format. Together with stored operational data (traffic intensity, traffic speed, opacity, CO level...) from the existing tunnel are this data sent into the PLC based tunnel simulator through external XML interface using C# application.

关键词： simulation application programming interfaces programmable logic devices computer networks

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Parallelizing k-means Algorithm for 1-d Data Using MPI 23

Parallelizing k-means Algorithm for 1-d Data Using MPI

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23rd IEEE International Conference on Enabling Technologies, Infrastructure for Collaborative Enterprises (WETICE)

作者： Savvas, Ilias K. Sofianidou, Georgia N. TEI Thessaly Dept Comp Sci & Engn Larisa Greece

ISBN: (纸本)9781479942497

Nowadays, colossal amount of information is produced by computational systems and electronic instruments such as telescopes, medical devices and so on. To explore these petabytes of data, new fast algorithms must be discovered or old ones may be redesigned. One of the most popular and useful techniques in order to discover and extract information from data pools is clustering, and k-means is an algorithm which clusters data according its characteristics. Its main disadvantage is its computational complexity which makes the technique very difficult to apply on big data sets. Although k-means is a very well studied technique, a fully parallel version of it has not been explored yet. In this work, a parallel version of the k-means is presented for 1-d objects. The experimental results obtained are inline with the theoretical outcome and prove both the correctness and the effectiveness of the technique.

关键词： Big Data application program interfaces computational complexity information retrieval message passing parallel algorithms pattern clustering 1D data MPI big data sets computational systems data pools electronic instruments information discovery information extraction medical devices message passing interface parallelizing k-means algorithm telescopes Algorithm design and analysis Clustering algorithms Computational complexity Data mining Equations Peer-to-peer computing message passing complexity classes ELECTRONIC INSTRUMENTS information retrieval mannose phosphate isomerase remote procedure calls Algorithm design and analysis big data application programming interfaces Peer to peer computing information discovery Telescopes Medical device Clustering algorithms Information Extraction

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