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19th international conference on Euro-Par

作者： Martin, Gonzalo Marinescu, Maria-Cristina Singh, David E. Carretero, Jesus Univ Carlos III Madrid Leganes 28911 Spain Barcelona Supercomp Ctr Barcelona 08034 Spain

ISBN: (纸本)9783642400476

this paper introduces FLEX-MPI, a novel runtime approach for the dynamic load balancing of MPI-based SPMD applications running on heterogeneous platforms in the presence of dynamic external loads. To effectively balance the workload, FLEX-MPI monitors the actual performance of applications via hardware counters and the MPI profiling interface-with a negligible overhead and minimal code modifications. Our results show that by using this approach the execution time of an application may be significantly reduced.

关键词： Dynamic load balancing distributed computing heterogeneous systems hardware counters

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Greedy distributed tree routing algorithm for wireless ad hoc networks

Greedy distributed tree routing algorithm for wireless ad ho...

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4th iasted international conference on Advances in Computer Science and Technology, ACST 2008

作者： Kumar, Munish Jaffery, Z.A. Moinuddin CDAC Noida India JMI Delhi India NIT Jalandher India

ISBN: (纸本)9780889867307

As ad hoc networks are continuously growing in size, we are facing the prospect of emerging wireless networks with millions of nodes. Geographic routing algorithms are a better alternative to traditional ad hoc routing algorithms in this new domain for point-to-point routing. But deployments of such algorithms are currently very uncommon because of some practical difficulties. this paper explores techniques that address two major issues in the deployment of geographic routing algorithms: (i) the costs associated with distributed planarization and (ii) the non availability of location information of a node. We present and evaluate a new algorithm for geographic routing: Greedy distributed Tree Routing (GDTR).the previous geographic routing algorithms require the planarization of the network connectivity graph where as GDTR switches to routing on a spanning tree instead of a planar graph when packets end up at dead ends during greedy forwarding. To opt a direction on the tree that is most likely to make progress towards the destination, each GDTR node maintains a summary of the area covered by the subtree below each of its tree neighbors using convex hulls. this distributed data structure is called a hull tree. GDTR not only requires an order of magnitude less resource to maintain these hull trees than the Cross- Link Detection Protocol CLDP, the only distributed planarization algorithm that is known to work with practical radio networks, it often achieves better routing performance than previous planarization-based geographic routing algorithms.

关键词： Routing algorithms

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TurboGraph: A Fast parallel Graph Engine Handling Billion-scale Graphs in a Single PC 13

TurboGraph: A Fast Parallel Graph Engine Handling Billion-sc...

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19th ACM SIGKDD international conference on Knowledge Discovery and Data Mining (KDD)

作者： Han, Wook-Shin Lee, Sangyeon Park, Kyungyeol Lee, Jeong-Hoon Kim, Min-Soo Kim, Jinha Yu, Hwanjo POSTECH Pohang South Korea DGIST Daegu South Korea

ISBN: (纸本)9781450321747

Graphs are used to model many real objects such as social networks and web graphs. Many real applications in various fields require efficient and effective management of large-scale graph structured data. Although distributed graph engines such as GBase and Pregel handle billion-scale graphs, the user needs to be skilled at managing and tuning a distributed system in a cluster, which is a nontrivial job for the ordinary user. Furthermore, these distributed systems need many machines in a cluster in order to provide reasonable performance. In order to address this problem, a disk-based parallel graph engine called GraphChi, has been recently proposed. Although GraphChi significantly outperforms all representative (disk-based) distributed graph engines, we observe that GraphChi still has serious performance problems for many important types of graph queries due to 1) limited parallelism and 2) separate steps for I/O processing and CPU processing. In this paper, we propose a general, disk-based graph engine called Turbo-Graph to process billion-scale graphs very efficiently by using modern hardware on a single PC. TurboGraph is the first truly parallel graph engine that exploits 1) full parallelism including multi-core parallelism and FlashSSD IO parallelism and 2) full overlap of CPU processing and I/O processing as much as possible. Specifically, we propose a novel parallel execution model, called pin-and-slide. TurboGraph also provides engine-level operators such as BFS which are implemented under the pin-and-slide model. Extensive experimental results with large real datasets show that TurboGraph consistently and significantly outperforms GraphChi by up to four orders of magnitude! Our implementation of TurboGraph is available at "http://***/turbograph" as executable files.

关键词： Graph processing Big data parallelism Pin-and-slide

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Topic 5: parallel and distributed Data Management (Introduction)

Topic 5: Parallel and Distributed Data Management (Introduct...

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19th international conference on Euro-Par

作者： Perez-Hernandez, Maria S. Brinkmann, Andre Anastasiadis, Stergios Fiore, Sandro Lebre, Adrien Magoutis, Kostas Universidad Politecnica De Madrid Spain Johannes Gutenberg University of Mainz Germany University of Ioannina Greece Euro Mediterranean Center on Climate Change University of Salento Italy Ecole des Mines de Nantes France Foundation for Research and Technology - Hellas Greece

ISBN: (纸本)9783642400476

Nowadays we are facing an exponential growth of new data that is overwhelming the capabilities of companies, institutions and the society in general to manage and use it in a proper way. Ever-increasing investments in Big Data, cutting edge technologies and the latest advances in both application development and underlying storage systems can help dealing with data of such magnitude. Especially parallel and distributed approaches will enable new data management solutions that operate effectively at large scale.

关键词： Digital storage

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2014 19th international conference on Methods and Models in Automation and Robotics, MMAR 2014

2014 19th International Conference on Methods and Models in ...

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2014 19th international conference on Methods and Models in Automation and Robotics, MMAR 2014

ISBN: (纸本)9781479950812

the proceedings contain 165 papers. the topics discussed include: minimum energy control of positive electrical circuits;a PSO-optimized type-2 fuzzy logic controller for navigation of multiple mobile robots;integrated phases modular fuzzy logic control with spiral dynamic optimization for stair descending in a wheelchair;development of a therapeutic exercise robot for wrist and forearm rehabilitation;dynamic model and analysis of distributed control system algorithms of three wheel vehicle;modelling and simulation of a surge arrester in the physical domain;heuristic to tune the compensation gain of modeling uncertainties through the robust multi inversion;time-varying IIR multi-notch filter based on all-pass filter prototype;parallel distributed downsampled spatio-temporal track-before-detect algorithm;improved fractional Kalman filter for variable order systems with lossy and delayed network;and modeling and identification of a fractional-order discrete-time SISO Laguerre-Wiener system.

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Leader and Leaderless Multi-Layer Consensus With State Obfuscation: An Application to distributed Speed Advisory systems

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION systems 2018年第3期19卷 711-721页

作者： Griggs, Wynita Russo, Giovanni Shorten, Robert Univ Coll Dublin Sch Elect Elect & Commun Engn Dublin 4 Ireland IBM Dublin Technol Campus Optimizat & Control Grp IBM Res Ireland Dublin 15 Ireland

Two new distributed speed advisory systems (SASs) are introduced in this paper. the systems implement consensus algorithms that guide a set of vehicles toward a common driving speed. A major innovation is that consensus is achieved over a multi-layer network, in which parallel network topologies of connected vehicles are superimposed. the reason for the use of these parallel networks is that, in this way, the state obfuscation is possible, with the benefit that common driving speed is attained with no vehicle knowing the exact state of other vehicles. Convergence of the SASs is formally proved and two new results for the consensus of multi-layer networks modeled via stochastic differential equations are introduced. the SASs are also validated via simulation and via a hardware-in-the-loop setup, in which a real vehicle interacts with simulated entities.

关键词： Automotive applications advanced driver assistance algorithm design and analysis decentralized control systems simulation

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A high-performance computational resource broker for Grid computing environments

A high-performance computational resource broker for Grid Co...

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19th international conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Shih, Po-Chi Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung County 43301 Taiwan

ISBN: (纸本)0769522491

Internet computing and grid technologies promise to change the way we tackle complex problems. they will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, ax well as the need for conveying these resources to the everyday user. this paper describes a resource broker with its main function as to match the available resources to the user's needs. the use of the resource broker provides a uniform interface to access any of the available and appropriate resources using user's credentials. the resource broker runs on top of the Globus Toolkit. therefore, it provides security and current information about the available resources and serves as a link to the diverse systems available in the Grid. © 2005 IEEE.

关键词： Computer systems

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Serverless computing on Heterogeneous Computers 27

Serverless Computing on Heterogeneous Computers

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27th ACM international conference on Architectural Support for Programming Languages and Operating systems (ASPLOS)

作者： Du, Dong Liu, Qingyuan Jiang, Xueqiang Xia, Yubin Zang, Binyu Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Artificial Intelligence Lab Shanghai Peoples R China

ISBN: (纸本)9781450392051

Existing serverless computing platforms are built upon homogeneous computers, limiting the function density and restricting serverless computing to limited scenarios. We introduce Molecule, the first serverless computing system utilizing heterogeneous computers. Molecule enables both general-purpose devices (e.g., Nvidia DPU) and domain-specific accelerators (e.g., FPGA and GPU) for serverless applications that significantly improve function density (50% higher) and application performance (up to 34.6x). To achieve these results, we first propose XPU-Shim, a distributed shim to bridge the gap between underlying multi-OS systems (when using general-purpose devices) and our serverless runtime (i.e., Molecule). We further introduce vectorized sandbox, a sandbox abstraction to abstract hardware heterogeneity (when using domain-specific accelerators). Moreover, we also review state-of-the-art serverless optimizations on startup and communication latency and overcome the challenges to implement them on heterogeneous computers. We have implemented Molecule on real platforms with Nvidia DPUs and Xilinx FPGAs and evaluate it using benchmarks and real-world applications.

关键词： Cloud computing serverless computing heterogeneous computers function-as-a-service operating system

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Topic 9: parallel and distributed Programming (Introduction)

Topic 9: Parallel and Distributed Programming (Introduction)

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19th international conference on Euro-Par

作者： Cunha, Jose Philippsen, Michael Talia, Domenico Varbanescu, Ana Lucia Universidade Nova de Lisboa Portugal Friedrich-Alexander-Universität Erlangen-Nürnberg Germany University of Calabria ICAR-CNR Italy Delft University of Technology Netherlands

ISBN: (纸本)9783642400476

this topic provides a forum for presentation of new results and practical experience in the development of parallel and distributed programs. the development of high-performance, correct, portable, and scalable parallel programs is a hard task, requiring advanced algorithms, realistic modeling, adequate programming abstractions and models, efficient design tools, high performance languages and libraries, and experimental evaluation. Current challenges in this topic are concerned with improved solutions for conciliating the transparency and expressiveness of the programming abstractions and models, with new issues arising in modern applications with increasing problem size and complexity, and in heterogeneous computing infrastructures with varying performance, scalability, failure and dynamic behaviors. this motivates for example, abstractions for handling concurrency, parallelism and distribution, and support for predictable performance, self-adaptation, fault-tolerance, and large-scale deployment.

关键词： Fault tolerance

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ASPLOS 2014 - 19th international conference on Architectural Support for Programming Languages and Operating systems

ASPLOS 2014 - 19th International Conference on Architectural...

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19th international conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2014

ISBN: (纸本)9781450323055

the proceedings contain 49 papers. the topics discussed include: Rhythm: harnessing data parallel hardware for server workloads;Paraprox: pattern-based approximation for data parallel applications;virtual ghost: protecting applications from hostile operating systems;finding Trojan message vulnerabilities in distributed systems;REF: resource elasticity fairness with sharing incentives for multiprocessors;underprovisioning backup power infrastructure for datacenters;comprehending performance from real-world execution traces: a device-driver case;leveraging the short-term memory of hardware to diagnose production-run software failures;prototyping symbolic execution engines for interpreted languages;Q100: the architecture and design of a database processing unit;DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning;disengaged scheduling for fair, protected access to fast computational accelerators;and KVM/ARM: the design and implementation of the Linux ARM hypervisor.

关键词： Computer operating systems

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