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检索条件"任意字段=23rd IEEE International Parallel and Distributed Processing Symposium"

共 912 条记录，以下是71-80 订阅

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Network processing Performability Evaluation on Heterogeneous Reliability Multicore Processors using SRN Model

Network Processing Performability Evaluation on Heterogeneou...

引用

23rd ieee international parallel and distributed processing symposium

作者： Ungsunan, Peter D. Lin, Chuang Wang, Yang Gai, Yi Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Univ Southern Calif Ming Hsieh Dept Elect Engn Los Angeles CA USA

ISBN: (纸本)9781424437511

Future network systems and embedded infrastructure devices in ubiquitous environments will need to consume low power and process large amounts of network packet traffic. In order to meet necessary high processing efficiency requirements, future processors will have many heterogeneous cores with reduced reliability due to low voltage, small transistor sizes, semiconductor wearout, and environmental factors such as noise and interference. It will be necessary for multi-core network infrastructure software to mitigate transient hardware faults to maintain acceptable system reliability. Applications such as packet processing can benefit from the reliability versus performance tradeoff. We propose a model based on Stochastic Reward Nets to evaluate the performance vs. reliability tradeoff of unreliable embedded multi-core network processors, and apply this model to a multi-core packet processing application.

关键词： multiprocessing systems network processing heterogeneous multicore reliability

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Scalability Challenges for Massively parallel AMR Applications

Scalability Challenges for Massively Parallel AMR Applicatio...

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23rd ieee international parallel and distributed processing symposium

作者： Van Straalen, Brian Shalf, John Ligocki, Terry Keen, Noel Yang, Woo-Sun Univ Calif Berkeley Lawrence Berkeley Lab ANAG Berkeley CA 94720 USA Univ Calif Berkeley Lawrence Berkeley Natl Lab NERSC Berkeley CA 94720 USA

ISBN: (纸本)9781424437511

PDE solvers using Adaptive Mesh Refinement on block structured grids are some of the most challenging applications to adapt to massively parallel computing environments. We describe optimizations to the Chombo AMR framework that enable it to scale efficiently to thousands of processors on the Cray XT4. The optimization process also uncovered OS-related performance variations that were not explained by conventional OS interference benchmarks. Ultimately the variability was traced back to complex interactions between the application, system software, and the memory hierarchy. Once identified, software modifications to control the variability improved performance by 20% and decreased the variation in computation time across processors by a factor of 3. These newly identified sources of variation will impact many applications and suggest new benchmarks for OS-services be developed.

关键词： Application programs

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distributed Management of Virtual Cluster Infrastructures

Distributed Management of Virtual Cluster Infrastructures

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23rd ieee international parallel and distributed processing symposium

作者： Murphy, Michael A. Fenn, Michael Abraham, Linton Canter, Joshua A. Sterrett, Benjamin T. Goasguen, Sebastien Clemson Univ Sch Comp Clemson SC 29634 USA

ISBN: (纸本)9781424437511

Cloud services that provide virtualized computational clusters present a dichotomy of systems management challenges, as the virtual clusters may be owned and administered by one entity, while the underlying physical fabric may belong to a different entity. On the physical fabric, scalable tools that "push" configuration changes and software updates to the compute nodes are effective, since the physical system administrators have complete system access. However, virtual clusters executing atop federated Grid sites may not be directly reachable for management purposes, as network or policy limitations may prevent unsolicited connections to virtual compute nodes. For these systems, a distributed middleware solution could permit the compute nodes to "pull" updates from a centralized server, thereby permitting the management of virtual compute nodes that are inaccessible to the system administrator. This paper compares both models of system administration and describes emerging software utilities for managing both the physical fabric and the virtual clusters.

关键词： Middleware

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Extending SRT for parallel Applications in Tiled-CMP Architectures

Extending SRT for Parallel Applications in Tiled-CMP Archite...

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23rd ieee international parallel and distributed processing symposium

作者： Sanchez, Daniel Aragon, Juan L. Garcia, Jose M. Univ Murcia Dept Ingn & Tecnol Comp E-30001 Murcia Spain

ISBN: (纸本)9781424437511

Reliability has become a first-class consideration issue for architects along with performance and energy-efficiency. The increasing scaling technology and subsequent supply voltage reductions are increasing the susceptibility of architectures to soft errors. However mechanisms to achieve full coverage to errors usually degrade performance in an unacceptable way for the majority of common users. Simultaneous and Redundantly Threaded (SRT) [13] is a fault tolerant architecture in which pairs of threads in a SMT core redundantly execute the same program instructions. In this paper, we study the under-explored architectural support of SRT to reliably execute shared-memory applications. We show how atomic operations induce a serialization point between master and slave threads. This bottleneck has an impact of 34% in execution speed for several parallel scientific benchmarks. We propose an alternative mechanism in which the L1 cache is updated by master's stores before verification reducing the overhead up to 21%. Our approach also outpetforms other recent proposals such as DCC with a decrease of 8% in execution speed.

关键词： Energy efficiency

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Automatic Detection of parallel Applications Computation Phases

Automatic Detection of Parallel Applications Computation Pha...

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23rd ieee international parallel and distributed processing symposium

作者： Gonzalez, Juan Gimenez, Judit Labarta, Jesus UPC BSC Barcelona Spain

ISBN: (纸本)9781424437511

Analyzing parallel programs has become increasingly difficult due to the immense amount of information collected on large systems. The use of clustering techniques has been proposed to analyze applications. However while the objective of previous works is focused on identifying groups of processes with similar characteristics, we target a much finer granularity in the application behavior. In this paper, we present a tool that automatically characterizes the different computation regions between communication primitives in message-passing applications. This study shows how some of the clustering algorithms which may be applicable at a coarse grain are no longer adequate at this level. Density-based clustering algorithms applied to the performance counters offered by modern processors are more appropriate in this context. This tool automatically generates accurate displays of the structure of the application as well as detailed reports on a broad range of metrics for each individual region detected.

关键词： Message passing

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Multi-Dimensional Characterization of Temporal Data Mining on Graphics Processors

Multi-Dimensional Characterization of Temporal Data Mining o...

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23rd ieee international parallel and distributed processing symposium

作者： Archuleta, Jeremy Cao, Yong Scogland, Tom Feng, Wu-chun Virginia Tech Dept Comp Sci Blacksburg VA 24061 USA

ISBN: (纸本)9781424437511

Through the algorithmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discover), and innovation across a multitude of disciplines. For example, the exponential growth in data volume now presents an obstacle for high-throughput data mining in fields such as neuroscience and bioinformatics. As such, we present a characterization of a MapReduce-based data-mining application on a general-purpose GPU (GPGPU). Using neuroscience as the application vehicle, the results of our multidimensional performance evaluation show that a "one-size-fits-all" approach maps poorly across different GPGPU cards. Rather a high-performance implementation on the GPGPU should factor in the 1) problem size, 2) type of GPU, 3) type of algorithm, and 4) data-access method when determining the type and level of parallelism. To guide the GPGPU programmer towards optimal performance within such a broad design space, we provide eight general performance characterizations of our data-mining application.

关键词： Graphics processing unit

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parallel Solvers for Dense Linear Systems for Heterogeneous Computational clusters

Parallel Solvers for Dense Linear Systems for Heterogeneous ...

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23rd ieee international parallel and distributed processing symposium

作者： Reddy, Ravi Lastovetsky, Alexey Alonso, Pedro Univ Coll Dublin Sch Informat & Comp Sci Dublin Ireland Univ Coll Dublin Sch Informat & Comp Sci Dublin Ireland Univ Politecn Valencia Dept Informat & Comp Syst Valencia Spain

ISBN: (纸本)9781424437511

This paper describes the design and the implementation of parallel routines in the Heterogeneous ScaLAPACK library that solve a dense system of linear equations. This library is written on top of HeteroMPI and ScaLAPACK whose building blocks, the de facto standard kernels for matrix and vector operations (BLAS and its parallel counterpart PBLAS) and message passing communication (BLACS), are optimized for heterogeneous computational clusters. We show that the efficiency of these parallel routines is due to the most important feature of the library, which is the automation of the difficult optimization tasks of parallel programming on heterogeneous computing clusters. They are the determination of the accurate values of the platform parameters such as the speeds of the processors and the latencies and bandwidths of the communication links connecting different pairs of processors, the optimal values of the algorithmic parameters such as the total number of processes, the 2D process grid arrangement and the efficient mapping of the processes executing the parallel algorithm to the executing nodes of the heterogeneous computing cluster. We describe this process of automation followed by presentation of experimental results on a local heterogeneous computing cluster demonstrating the efficiency of these solvers.

关键词： parallel programming

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Large Scale Experiment and Optimization of a distributed Stochastic Control Algorithm. Application to Energy Management Problems

Large Scale Experiment and Optimization of a Distributed Sto...

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23rd ieee international parallel and distributed processing symposium

作者： Vezolle, Pascal Vialle, Stephane Warin, Xavier IBM Deep Comp Europe F-34060 Montpellier France SUPELEC IMS Grp F-57070 Metz France AlGorille INRIA Project Team F-54600 Nancy France EDF R&D OSIRIS Grp F-92141 Clamart France

ISBN: (纸本)9781424437511

Asset management,for the electricity industry leads to very large stochastic optimization problem. We explain in. this article how to efficiently distribute the Bellman algorithm used, re-distributing data and computations at each time step, and we examine the parallelization of a simulation algorithm usually used after this optimization part. We focus on distributed architectures with shared memory multi-core nodes, and we design a multiparadigm parallel algorithm, implemented with both MPI and multithreading mechanisms. Then we lay emphasis on the serial optimizations carried out to achieve high performances both on a dual-core PC cluster and a Blue Gene/P IBM supercomputer with quad-core nodes. Finally, we introduce experimental results achieved on two large testbeds, running a 7-stocks and 10-state-variables benchmark, and we show the impact of multithreading and serial optimizations on our distributed application.

关键词： Optimization

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High-Performance Simulations for Urban Planning: Implementing parallel distributed Multi-Agent Systems in MATSim 23

High-Performance Simulations for Urban Planning: Implementin...

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23rd international symposium on parallel and distributed Computing (ISPDC)

作者： Laudan, Janek Heinrich, Paul Nagel, Kai Tech Univ Berlin Transport Syst Planning Berlin Germany

ISBN: (纸本)9798350369205;9798350369199

As semiconductor design approaches physical limits, computer processing speeds are stagnating. This poses significant challenges for traffic simulations, which are becoming more and more computationally demanding. To maintain fast execution times while accommodating more complex simulations, it is essential to utilize the parallel computing capabilities of modern hardware. This paper discusses the need for an updated architectural design in the MATSim traffic simulation framework to take advantage of parallel computing infrastructures. We introduce a prototype that adapts the existing traffic simulation logic to a distributed parallel algorithm. Extensive benchmarks have been conducted to evaluate the prototype's performance and identify its limitations. The results demonstrate that the prototype performs up to 100 times faster than the current implementation. Based on these findings, we advocate for the integration of a distributed traffic simulation within the MATSim framework and outline necessary steps to enhance the prototype.

关键词： Mulit-Agent Transport Simulation distributed Computing MPI parallel Computing

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A parallel Hybrid Genetic Algorithm-Simulated Annealing for Solving Q3AP on Computational Grid

A Parallel Hybrid Genetic Algorithm-Simulated Annealing for ...

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23rd ieee international parallel and distributed processing symposium

作者： Loukil, Lakhdar Mehdi, Malika Melab, Nouredine Talbi, El-Ghazali Bouvry, Pascal Univ Oran Fac Sci Dept Informat BP 1524 El Mnaouer Oran Algeria Univ Luxembourg Fac Sci Technol & Commun L-1359 Luxembourg Luxembourg INRIA Futurs F-59650 Villeneuve Dascq France

ISBN: (纸本)9781424437511

In this paper we propose a parallel hybrid genetic method for solving Quadratic 3-dimensional Assignment Problem (Q3AP). This problem is proved to be computationally NP-hard. The parallelism in our algorithm is of two hierarchical levels. The first level is an insular model where a number of GAs (genetic algorithms) evolve in parallel. The second level is a parallel transformation of individuals in each GA. Implementation has been done using ParadisEO(1) framework, and the experiment., have been performed on GRID5000, the French nation-wide computational grid. To evaluate our method, we used three benchmarks derived from QAP instances of QAPLIB and the results are compared with those reported in the literature. The preliminary results show that the method is promising. The obtained solutions are close to the optimal values and the execution is efficient.

关键词： Quadratic 3-dimensional Assignment Problem Meta-heuristics Insular Model Hybridization parallel Genetic Algorithms Grid Computing

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