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Capturing and Visualizing Event Flow Graphs of MPI applications

Capturing and Visualizing Event Flow Graphs of MPI Applicati...

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15th international Euro-Par conference on parallel Computing

作者： Fuerlinger, Karl Skinner, David Univ Calif Berkeley Dept EECS Div Comp Sci Soda Hall 593 Berkeley CA 94720 USA Lawrence Berkeley Natl Lab Berkeley CA USA

ISBN: (纸本)9783642141218

A high-level understanding of how an application executes and which performance characteristics it exhibits is essential in many areas of high performance computing, such as application optimization, hardware development, and system procurement. Tools are needed to help users in uncovering the application characteristics, but current approaches are unsuitable to help develop a structured understanding of program execution akin to flow charts. Profiling tools are efficient in terms of overheads but their way of recording performance data discards temporal information. Tracing preserves all the temporal information but distilling the essential high level structures, such as initialization and iteration phases can be challenging and cumbersome. We present a technique that extends an existing profiling tool to capture event flow graphs of MPI applications. Event flow graphs try to strike a balance between the abundance of data contained in full traces and the concise information profiling tools can deliver with low overheads. We describe our technique for efficiently gathering an event flow graph for each process of an MPI application and for combining these graphs into a single application-level flow graph. We explore ways to reduce the complexity of the graphs by collapsing nodes in a step-by-step fashion and present techniques to explore flow graphs interactively.

关键词： Graphic methods

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Survey of Performance Modeling of Big Data applications 7

Survey of Performance Modeling of Big Data Applications

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7th international conference on Cloud Computing, Data Science and Engineering (Confluence)

作者： Pattanshetti, Tanuja Attar, Vahida Savitribai Phule Pune Univ COEP Dept Comp Engn & Informat Technol Pune Maharashtra India

ISBN: (纸本)9781509035199

Enormous amount of data is being generated at a tremendous rate by multiple sources, often this data exists in different formats thus making it quite difficult to process the data using traditional methods. The platforms used for processing this type of data rely on distributed architecture like Cloud computing, Hadoop etc. The processing of big data can be efficiently carried out by exploring the characteristics of underlying platforms. With the advent of efficient algorithms, software metrics and by identifying the relationship amongst these measures, system characteristics can be evaluated in order to improve the overall performance of the computing system. By focusing on these measures which play important role in determining the overall performance, service level agreements can also be revised. This paper presents a survey of different performance modeling techniques of big data applications. One of the key concepts in performance modeling is finding relevant parameters which accurately represent performance of big data platforms. These extracted relevant performances measures are mapped onto software qualify concepts which are then used for defining service level agreements.

关键词： Software Metrics Big Data Cloud Computing Big Data platforms Performance Measures MapReduce framework

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Stream oriented modular architecture with polymorphic processing engines 26

Stream oriented modular architecture with polymorphic proces...

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26th IEEE international Symposium on Computer Architecture and High Performance Computing Workshops, SBAC-PADW 2014

作者： Gorobets, Andriy Pratas, Frederico Roma, Nuno Tomís, Pedro INESC-ID IST Universidade de Lisboa Portugal

ISBN: (纸本)9781479970148

Stream computing has shown to be an effective technique to decouple communication from computation in many application domains. It provides an efficient mitigation of bandwidth restrictions, by reducing the amount of memory accesses and by maximizing the available computational resources, potentiating the parallel processing using multiple execution engines. However, it frequently implies significant development costs, since efficient stream-based architectures are usually attained through application-specific full-custom processors, often tightened to the application at hand. To circumvent this limitation, a modular stream computing architecture aiming generic and high performance applications is presented. The proposed architecture, designed for reconfigurable hardware, is composed of modular processing engines that can be customized by the end-user in many ways, such as in terms of their number, type and precision of the functional units. Furthermore, these processing engines are designed as programmable cores, allowing the execution of a wide set of applications using the same configuration. From the conducted evaluation by using a series of benchmark case studies, it was observed that the proposed architecture achieves competitive results when compared with alternative solutions. © 2014 IEEE.

关键词： Engines

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A P2P technique for continuous k-nearest-neighbor query in road networks

A P2P technique for continuous k-nearest-neighbor query in r...

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18th international conference on Database and Expert Systems applications

作者： Liu, Fuyu Hua, Kien A. Do, Tai T. Univ Cent Florida Sch EECS Orlando FL 32816 USA

ISBN: (纸本)9783540744672

Due to the high frequency in location updates and the expensive cost of continuous query processing, server computation capacity and wireless communication bandwidth are the two limiting factors for large-scale deployment of moving object database systems. Many techniques have been proposed to address the server bottleneck including one using distributed servers. To address both of the scalability factors, P2P computing has been considered. These schemes enable moving objects to participate as a peer in query processing to substantially reduce the demand on server computation, and wireless communications associated with location updates. Most of these techniques, however, assume an open-space environment. In this paper, we investigate a P2P computing technique for continuous kNN queries in a network environment. Since network distance is different from Euclidean distance, techniques designed specifically for an open space cannot be easily adapted for our environment. We present the details of the proposed technique, and discuss our simulation study. The performance results indicate that this technique can significantly reduce server workload and wireless communication costs.

关键词： distributed computer systems

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Reactive real-time programming with distributed agents

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3rd international conference on parallel processing, Euro-Par 1997

作者： Schrott, Gerhard Technische Universität München Institut für Informatik D-80290 Munich Germany

ISBN: (纸本)9783540634409

The proposed reactive real-time programming system is a new approach to implement complex distributed heterogeneous real-time applications. It is based on the notion of distributed multi-agent systems. The whole control task is decomposed top down into small execution units, called agents which communicate by sending and executing contracts and are specified in a hardware independent language based on states and guarded commands. At compile time the agents are distributed to specified targets. PC's, micro-controllers, programmable logic controllers and even programmable logic devices are supported. The system automatically translates each agent to the particular code and realizes the communication including a bidding protocol between the agents either on the same processor or within a network. Due to a strictly cyclic processing of the agents exact response times can be guaranteed. Zero delay agents can be implemented in hardware.

关键词： Programmable logic controllers

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Active Optimistic Message Logging for Reliable Execution of MPI applications

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15th international Euro-Par conference on parallel Computing

作者： Ropars, Thomas Morin, Christine Univ Rennes 1 IRISA Rennes France INRIA Ctr Rennes Bretagne Atlantique Rennes France

ISBN: (纸本)9783642038686

To execute MPI applications reliably, fault tolerance mechanisms are needed. Message logging is a well known solution to provide fault tolerance for MPI applications. It as been proved that it can tolerate higher failure rate than coordinated checkpointing. However pessimistic and causal message logging can induce high overhead on failure free execution. In this paper, we present O2P, a new optimistic message logging protocol, based oil active optimistic message logging. Contrary to existing optimistic message logging protocols that saves dependency information on reliable storage periodically, O2P logs dependency information as soon as possible to reduce the amount of data piggybacked on application messages. Thus it reduces the overhead of the protocol on failure free execution, making it more scalable and simplifying recovery. O2P is implemented as a module of the Open MPI library. Experiment's show that active message logging is promising to improve scalability and performance of optimistic message logging.

关键词： Failure analysis

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An Insight into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency 42

An Insight into the Impact of Dockerfile Evolutionary Trajec...

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42nd Annual IEEE-Computer-Society Computers, Software and applications (COMPSAC) conference - Staying Smarter in a Smartening World

作者： Zhang, Yang Yin, Gang Wang, Tao Yu, Yue Wang, Huaimin Natl Univ Def Technol Coll Comp Key Lab Parallel & Distributed Comp Changsha 410073 Peoples R China

ISBN: (纸本)9781538626672

Containerization is a software development approach aimed at packaging an application together with all its dependencies and execution environment in a light-weight, self-contained unit, of which Docker has become the de-facto industry standard. By defining the specific Docker image architecture and building orders, dockerfile plays an important role in the Dockerbased containerization process. Understanding the evolution of dockerfile and which dockerfile architecture attributes enhance dockerfile quality and reduce image build latency can benefit the efficient processing of containerization. In this paper, we perform an empirical study on a large dataset of 2,840 projects to shed light on the impact of dockerfile evolutionary trajectories on quality and latency in the Docker-based containerization. Based on the six categories of dockerfile evolutionary trajectories we discovered, we build two regression models to explore the impact of dockerfile evolutionary trajectories and specific architecture attributes on dockerfile quality and image build latency, which derives a number of suggestions for practitioners.

关键词： Docker dockerfile evolutionary trajectory containerization project maintenance

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parallel Architectures and Compilation techniques - conference Proceedings, PACT

Parallel Architectures and Compilation Techniques - Conferen...

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international conference on parallel Architectures and Compilation techniques, PACT 2002

ISBN: (纸本)0769516203

The proceedings contain 25 papers. The topics discussed include: an evaluation of data-parallel compiler support for line-sweep applications;increasing and detecting memory address congruence;compiler-controlled caching in superword register files for multimedia extension architectures;effective compilation support for variable instruction set architecture;a framework for parallelizing load/stores on embedded processors;workload design: selecting representative program-input pairs;dataflow frequency analysis based on whole program paths;quantifying instruction criticality;the role of computational science in energy efficiency and renewable energy;application transformations for energy and performance-aware device management;and integrating adaptive on-chip storage structures for reduced dynamic power.

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Deriving reliability estimates of distributed real-time systems by simulation 7

Deriving reliability estimates of distributed real-time syst...

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7th international conference on Real Time Computing Systems and applications

作者： Lindgren, M Hansson, H Norström, C Punnekkat, S Malardalen Univ Malardalen Real Time Res Ctr Vasteras Sweden

ISBN: (纸本)0769509304

Industrial deployment of academic real-time techniques still struggles to gain momentum due to the non-familiarity of the industry with schedulability analysis, as well as the lack of appropriate commercial tools. Moreover, it is imperative that academia realises the extent of pessimism in the proposed techniques, which often makes them less attractive to systems developers. The possible trade-offs in tinting guarantees vs. reliability is one such key area which needs closer study and scrutiny. There is a need for less stringent guarantees in order to avoid costly overdesigns of systems. In this paper, we present a framework and simulation based methodology for reliability analysis of distributed real-time systems. We have developed a tool which is quite versatile and can accommodate varied task models, network topologies and scheduling paradigms. The tool is illustrated by a comprehensive case-study. Since our method is based on simulation, which is a standard practice in many industrial projects, we believe it will be more comprehensible and acceptable to the industry.

关键词： Analytical models Control systems Electrical equipment industry Error analysis Job shop scheduling Operating systems Processor scheduling Real time systems Timing Topology

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Towards a Data Collection Quality Model for Big Data applications 24th

Towards a Data Collection Quality Model for Big Data Applica...

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24th international conference on Business Information Systems (BIS)

作者： Abdallah, Mohammad Hammad, Alaa AlZyadat, Wael Zaytoonah Univ Jordan Fac Sci & Informat Technol Amman Jordan

ISBN: (纸本)9783031042164;9783031042157

Big Data and its uses are widely used in many applications and fields;artificial information, medical care, business, and much more. Big Data sources are widely distributed and diverse. Therefore, it is essential to guarantee that the data collected and processed is of the highest quality, to deal with this large volume of data from different sources with caution and attention. Consequently, the quality of Big Data must be fulfilled starting from the beginning;data collection. This paper provides a viewpoint on the key Big Data collection Quality Factors that need to be considered every time the data are captured, generated, or created. This study proposes a quality model that can help create and measure data collection methods and techniques. However, the quality model is still introductory and needs to be further investigated.

关键词： Big Data Data collection Data quality Data collection quality Data collection quality model

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