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4th international conference on Advanced computing, Networking and Informatics (ICACNI)

作者： Sureshan, Sudeep Penumacha, Anusha Jain, Siddharth Vanahalli, Manjunath Patil, Nagamma Natl Inst Technol Karnataka Mangalore 575025 Karnataka India

ISBN: (纸本)9789811033735;9789811033728

Mining colossal patterns is one of the budding fields with a lot of applications, especially in the field of bioinformatics and genetics. Gene sequences contain inherent information. Mining colossal patterns in such sequences can further help in their study and improve prediction accuracy. the increase in average transaction length reduces the efficiency and effectiveness of existing closed frequent pattern mining algorithm. the traditional algorithms expend most of the running time in mining huge amount of minute and midsize patterns which do not enclose valuable information. the recent research focused on mining large cardinality patterns called as colossal patterns which possess valuable information. A novel parallel algorithm has been proposed to extract the closed colossal frequent patterns from high-dimensional datasets. the algorithm has been implemented on Hadoop framework to exploit its inherent distributed parallelism using MapReduce programming model. the experiment results highlight that the proposed parallel algorithm on Hadoop framework gives an efficient performance in terms of execution time compared to the existing algorithms.

关键词： Frequent patterns Closed patterns Minimum support Closed colossal frequent patterns High-dimensional datasets Hadoop MapReduce

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Semantic Meta-search Using Cohesion Network Analysis 18th

Semantic Meta-search Using Cohesion Network Analysis

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18th international conference on Artificial Intelligence - Methodology, Systems, and applications (AIMSA)

作者： Chelcioiu, Ionut Daniel Corlatescu, Dragos Paraschiv, Ionut Cristian Dascalu, Mihai Trausan-Matu, Stefan Univ Politehn Bucuresti Dept Comp Sci Bucharest 060042 Romania Res Technol SRL Sos Virtutii 19D Bucharest Romania Acad Romanian Scientists Splaiul Independentei 54 Bucharest 050094 Romania

ISBN: (纸本)9783319993447;9783319993430

Online searching is one of the most frequently performed actions and search engines need to provide relevant results, while maintaining scalability. In this paper we introduce a novel approach grounded in Cohesion Network Analysis in the form of a semantic search engine incorporated in our Hub-Tech platform. Our aim is to help researchers and people unfamiliar with a domain find meaningful articles online, relevant for their project scope. In addition, we integrate state-of-the-art technologies to ensure scalability and low response time, namely SOLR - for data storage and full-text search functionalities - and Akka - for parallel and distributed processing. Preliminary validations denote promising search results, the software being capable to suggest articles in approximately the same way as humans consider them most appropriate - 75% are close results and top 20% are identical to user recommendations. Moreover, Hub-Tech recommended more suitable articles than Google Scholar for our specific task of searching for articles related to a detailed description given as input query (50 + words).

关键词： Meta-search engine Semantic search parallel processing Akka SOLR

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Biomass fast pyrolysis in a shaftless screw reactor: A 1-D numerical model

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ENERGY 2018年 157卷 792-805页

作者： Luz, Fabio Codignole Cordiner, Stefano Manni, Alessandro Mulone, Vincenzo Rocco, Vittorio Univ Roma Tor Vergata Dept Ind Engn Via Politecn 1 I-00133 Rome Italy

the thermochemical conversion of biomass can be effective for flexible and programmable production of electric and thermal power. Only a few models have been developed so far in the literature to describe the behavior of a screw reactor system designed for biomass fast pyrolysis. the temperature profile plays a crucial role in particular for fast pyrolysis purposes. Hence, a complete heat transfer model is required to that aim. this paper is focused on numerical modeling of a shaftless screw pyrolyzer with special focus on the kinetic framework, as well as the description of heat and mass transfer phenomena. A steady-state model with constant wall temperature has been developed to generate temperature profile and conversion patterns along the reactor. Residence time distribution input has been considered to take into account non-perfect mass conveying characteristics. the model, including all the different heat flux mechanisms such as conduction, convection and radiation, is based on a four parallel distributed Activation Energy Model. the structure includes the three major biomass pseudo-component occurring in the biomass thermal degradation, and namely cellulose hemicellulose and lignin, along with the moisture evaporation process. Numerical results have been compared with experimental data of spruce wood pellet fast pyrolysis obtained in a lab-scale screw reactor. Numerical temperature profiles for both gas and solid phase, are in good agreement with experimental data. the results obtained allow for demonstrating that the selected framework gives realistic conversion rates for all the fast pyrolysis products namely bio-oil, char, and syngas. the maximum bio-oil production from ground spruce wood has been observed at 500 degrees C, with yield in the range of 64%. Moreover, the results show a strong dependence on wall temperature, gas-solid heating rate, and screw geometry. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Fast pyrolysis distributed activation energy model Screw reactor Spruce wood

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.NET core technology in scientific tasks 8

.NET core technology in scientific tasks

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Selected Papers of the 8th international conference "distributed computing and Grid-technologies in Science and Education", GRID 2018

作者： Dorokhin, V.A. Dubna State University 19 Universitetskaya St. Dubna141982 Russia

Today we have an established stack of tools to develop applications, systems and services for scientific purposes. However, not so long ago a new technology, called .NET Core appeared. It's supervised by Microsoft, but its open-source and developed by a wide community of programmers and engineers. that technology has a lot of advantages like high performance, simple and productive parallel programming abilities, support of high-level programming languages (C# 7.0, F#) and so on But the main advantage in comparison with its predecessors is cross-platform abilities. Once written code can be natively compiled on a large number of platforms and hardware systems. It can be used on Windows, Linux, Mac and all Unix-based operation systems. It supports different hardware components and processors, for example, it can be used on ARM processors. the technology supports containerization and can be used with Docker or Kubernetes. It gives an ability to develop applications with micro-service architecture out of the box and provides convenient deployment tools. Now, in a set of tasks .NET Core surpasses currently used tools in scientific sphere tools like Python, Go, Ruby, Java, *** and others. Also, it can be used to develop native desktop applications with HTML-based GUI for administration and monitoring purposes. © 2018 Victor A. Dorokhin.

关键词： parallel programming

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Efficient Communication/Computation Overlap with MPI+OpenMP Runtimes Collaboration 24th

Efficient Communication/Computation Overlap with MPI+OpenMP ...

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24th international European conference on parallel and distributed computing, Euro-Par 2018

作者： Sergent, Marc Dagrada, Mario Carribault, Patrick Jaeger, Julien Pérache, Marc Papauré, Guillaume Atos Bull Technologies Echirolles38130 France CEA DAM DIF Arpajon91297 France

ISBN: (纸本)9783319969824

Overlap network communications and computations is a major requirement to ensure scalability of HPC applications on future exascale machines. To this purpose the de-facto MPI standard provides non-blocking routines for asynchronous communication progress. In various implementations, a dedicated progress thread (PT) is deployed on the host CPU to actually achieve this overlap. However, current PT solutions struggle to find a balance between efficient detection of network events and minimal impact on the application computations. In this paper we propose a solution inspired from the PT approach which benefits from idle time of compute threads to make MPI communication progress in background. We implement our idea in the context of MPI+OpenMP collaboration using the OpenMP Tools interface which will be part of the OpenMP 5.0 standard. Our solution shows an overall performance gain on unbalanced workloads such as the AMG CORAL benchmark. © 2018, Springer international Publishing AG, part of Springer Nature.

关键词： Application programming interfaces (API)

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parallel Algorithms for Bitmap Image Processing Based on Daubechies Wavelets

Parallel Algorithms for Bitmap Image Processing Based on Dau...

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international conference on Communication Software and Networks, ICCSN

作者： Utkir Khamdamov Hakimjon Zaynidinov Dept. Hardware and Software of control systems in Telecommunication Tashkent University of Information Technologies Tashkent Uzbekistan Dept. Information Technologies Tashkent University of Information Technologies Tashkent Uzbekistan

this paper is devoted to the research of bitmap image processing based on wavelet functions. the Daubechies wavelet function was used as a mathematical model for filtering, compression and smoothing of two-dimensional signals, because the analysis of existing wavelet functions showed that the Daubechies wavelet family is most effective for image processing. OpenMP parallel programming in C/C++ was used for the parallelization of computing processes in image processing problems.

关键词： Message systems Wavelet transforms Image processing parallel programming Instruction sets parallel processing Computational modeling

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10th international Symposium on NASA Formal Methods, NFM 2018

10th International Symposium on NASA Formal Methods, NFM 201...

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10th international Symposium on NASA Formal Methods, NFM 2018

ISBN: (纸本)9783319779348

the proceedings contain 31 papers. the special focus in this conference is on NASA Formal Methods. the topics include: Twenty percent and a few days – Optimising a bitcoin majority attack;an even better approach – Improving the B.A.T.M.A.N. protocol through formal modelling and analysis;towards a formal safety framework for trajectories;static value analysis of python programs by abstract interpretation;model-based testing for general stochastic time;Strategy synthesis for autonomous agents using PRISM;the use of automated theory formation in support of hazard analysis;distributed model checking using ProB;optimal storage of combinatorial state spaces;formal assurance for cooperative intelligent autonomous agents;stubborn transaction reduction;certified Foata normalization for generalized traces;on the timed analysis of big-data applications;tuning permissiveness of active safety monitors for autonomous systems;sound black-box checking in the LearnLib;model-checking task parallel programs for data-race;consistency of property specification patterns with boolean and constrained numerical signals;Automatic generation of DO-178 test procedures;using test ranges to improve symbolic execution;Symbolic execution and reachability analysis using rewriting modulo SMT for spatial concurrent constraint systems with extrusion;ghosts for lists: A critical module of Contiki verified in Frama-C;Experience report: Application of falsification methods on the UxAS system;moDeS3: Model-based demonstrator for smart and safe cyber-physical systems;an executable formal framework for safety-critical human multitasking;simpler specifications and easier proofs of distributed algorithms using history variables;don’t miss the end: Preventing unsafe end-of-file comparisons;an efficient rewriting framework for trace coverage of symmetric systems.

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Towards Embedded Heterogeneous FPGA-GPU Smart Camera Architectures for CNN Inference 2019

Towards Embedded Heterogeneous FPGA-GPU Smart Camera Archite...

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Proceedings of the 13th international conference on distributed Smart Cameras

作者： Walther Carballo-Hernández François Berry Maxime Pelcat Miguel Arias-Estrada Department of Images Perception Systems and Robotics Institut Pascal Aubière France Department of Images Institut National des Sciences Appliquées (INSA) des Rennes IETR UMR CNRS Rennes France Department of Computer Science Instituto Nacional de Astrofísica (Óptica y Electrónica (INAOE) Puebla Mexico

ISBN: (纸本)9781450371896

the success of Deep Learning (DL) algorithms in computer vision tasks have created an on-going demand of dedicated hardware architectures that could keep up with the their required computation and memory complexities. this task is particularly challenging when embedded smart camera platforms have constrained resources such as power consumption, Processing Element (PE) and communication. this article describes a heterogeneous system embedding an FPGA and a GPU for executing CNN inference for computer vision applications. the built system addresses some challenges of embedded CNN such as task and data partitioning, and workload balancing. the selected heterogeneous platform embeds an Nvidia® Jetson TX2 for the CPU-GPU side and an Intel Altera® Cyclone10GX for the FPGA side interconnected by PCIe Gen2 with a MIPI-CSI camera for prototyping. this test environment will be used as a support for future work on a methodology for optimized model partitioning.

关键词： Internet of things Field Programmable Gate Array (FPGA) Graphic Processing Unit (GPU) Deep Learning (DL) Edge computing Processing Elements (PE) Artificial Neural Networks (ANN) Single Instruction Multiple Data Convolutional Neural Networks (CNN) Models of Computation and Architecture Pipelining Heterogeneous computing parallel Programming

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Toward Decentralised Consensus and Offloading for Area Coverage in a Fleet of Drones 9th

Toward Decentralised Consensus and Offloading for Area Cover...

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9th European-Alliance-for-Innovation (EAI) international conference on Wireless and Satellite Systems (WiSATS)

作者： Kavalionak, Hanna Carlini, Emanuele Cassara, Pietro Meghini, Carlo CNR Natl Res Council Inst Informat Sci & Technol ISTI Via Moruzzi 1 Pisa Italy

ISBN: (纸本)9783319765716;9783319765709

A precise and dynamic visual coverage of a given area is an essential task in many smart contexts, ranging from civil communities to military applications. Due to the last years advancement in hardware miniaturization and efficiency, area coverage is often performed with a combination of static and moving devices, such as unmanned aerial vehicles (drones). Drones are useful to cope with the highly unpredictability and dynamicity of environments, but require specific and efficient solutions toward and efficient area coverage. In this paper we proposes an initial work toward a drone-based approach for the task of area coverage. In particular, we focus our analysis on the following points: (i) decentralized consensus for movement planning, and (ii) the integration of cloud computing infrastructures and technologies for computation offloading, both for image analysis and movement planning.

关键词： Decentralized consensus Drones distributed tracking Dynamic environments

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A Hybrid parallel Implementation for the Maximum Flow Problem

A Hybrid Parallel Implementation for the Maximum Flow Proble...

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Euromicro international conference on parallel, distributed and Network-Based Processing

作者： Marco A. Stefanes Luiz F. Alvino Computing College Federal University of Mato Grosso do Sul Campo Grande Brazil Federal Institute of Mato Grosso do Sul Campo Grande Brazil

the maximum flow problem is a classical combinatorial problem with many applications. In this work a hybrid parallel algorithm using both multi-core and many-core technologies for computing the maximum flow in a network is presented. the proposed implementation is applicable in OpenMP/CUDA-enabled computing environment. To improve the performance two strategies were implemented: an adaptive approach where the algorithm alternate GPU/CPU processing according to the number of active nodes and implementations of the global relabeling and gap relabeling heuristics on multi-core approach. When compared against the best sequential implementation, the speedups range from 2.36 to 5.38 in several kinds of graph. Results show that the proposed algorithm is faster than previous parallel implementations on CPU/GPUs for all kinds of tested graphs.

关键词： Maximum flow Push-relabel method Hybrid parallel programming Multi/many-core architectures

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