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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

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11th international conference on parallel processing and Applied Mathematics, PPAM 2015

11th International Conference on Parallel Processing and App...

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11th international conference on parallel processing and Applied Mathematics, PPAM 2015

ISBN: (纸本)9783319321516

The proceedings contain 56 papers. The special focus in this conference is on Models, Algorithms, Energy Aspects of Computation, Scheduling for parallel Computing and Language-Based parallel Programming Models. The topics include: Virtualizing CUDA enabled GPGPUS on arm clusters;a distributed hash table for shared memory;mathematical approach to the performance evaluation of matrix multiply algorithm;a scalable numerical algorithm for solving tikhonov regularization problems;energy performance modeling with TIA and EML;considerations of computational efficiency in volunteer and cluster computing;parallel programs scheduling with architecturally supported regions;adaptive multi-level workflow scheduling with uncertain task estimates;divisible loads scheduling in hierarchical memory systems with time and energy constraints;extending Gustafson-barsis’s law for dual-architecture computing;free scheduling of tiles based on the transitive closure of dependence graphs;multi-threaded construction of neighbour lists for particle systems in openMP;high productivity and high performance;parallel ant brood graph partitioning in Julia;scalability model based on the concept of granularity;performance and power-aware modeling of MPI applications for cluster computing;running time prediction for web search queries;performance analysis of a parallel, multi-node pipeline for DNA sequencing;parallelising the computation of minimal absent words;modeling and simulations of edge-emitting broad-area semiconductor lasers and amplifiers;application of the parallel inmost platform to subsurface flow and transport modelling;genetic algorithm and exact diagonalization approach for molecular nanomagnets modelling and parallel Monte Carlo simulations for spin models with distributed lattice.

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PrioRAT: Criticality-Driven Prioritization Inside the On-Chip Memory Hierarchy 27th

PrioRAT: Criticality-Driven Prioritization Inside the On-Chi...

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27th international European conference on parallel and distributed Computing (Euro-Par)

作者： Dimic, Vladimir Moreto, Miquel Casas, Marc Valero, Mateo Barcelona Supercomp Ctr BSC Barcelona Spain Univ Politecn Catalunya UPC Barcelona Spain

ISBN: (纸本)9783030856656;9783030856649

The ever-increasing gap between the processor and main memory speeds requires careful utilization of the limited memory link. This is additionally emphasized for the case of memory-bound applications. Prioritization of memory requests in the memory controller is one of the approaches to improve performance of such codes. However, current designs do not consider high-level information about parallel applications. In this paper, we propose a holistic approach to this problem, where the runtime system-level knowledge is made available in hardware. Processor exploits this information to better prioritize memory requests, while introducing negligible hardware cost. Our design is based on the notion of critical path in the execution of a parallel code. The critical tasks are accelerated by prioritizing their memory requests within the on-chip memory hierarchy. As a result, we reduce the critical path and improve the overall performance up to 1.19 x compared to the baseline systems.

关键词： parallel processing systems

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Partitioning regular grid applications with irregular boundaries for cache-coherent multiprocessors

Partitioning regular grid applications with irregular bounda...

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Proceedings of the IEEE 9th international parallel processing Symposium

作者： Zeng, Yang Abraham, Santosh G. Univ of Michigan Ann Arbor United States

We consider the problem of partitioning applications that operate on a regular grid but have irregular boundaries for a cache-coherent multiprocessor. Domain decomposition techniques such as RSB have commonly been used to reduce interprocessor communication in message passing multiprocessors. We apply these partitioning algorithms on cache-coherent multiprocessors to reduce cache-coherency traffic. We find that the actual cache-coherency traffic is approximately double the estimated true coherency traffic, primarily due to false-sharing and the consequent false coherency traffic. We devise two techniques that eliminate false sharing traffic in partitions produced using the common domain decomposition algorithms. In our compensation algorithm, we modify the partition produced by the domain decomposition to ensure that all the nodes on a cache line are assigned to the same processor. In our coalescing algorithm, nodes belonging to the same cache line are coalesced into a single node and the weights on nodes and arcs adjusted to represent the overall computation and communication costs of the coalesced nodes. This coalesced graph is partitioned using a domain decomposition algorithm and then the coalesced nodes in the partition are expanded. Our experimental results using an Indian Ocean circulation application on the KSR1 multiprocessor demonstrate that compensation reduces coherency traffic by as much as 55% and execution time by up to 18% and that graph coalescing reduces coherency traffic by up to 74%.

关键词： Algorithms

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Topology Identification Technology for Low-voltage distributed Photovoltaic Distribution Network Lines 3

Topology Identification Technology for Low-voltage Distribut...

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3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Zheng, Guoquan Zhu, Enguo Zhang, Hailong Liu, Yan Wang, Junlong Liu, Zhe China Elect Power Res Inst Beijing Peoples R China State Grid Hebei Elect Power Beijing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The large-scale penetration of distributed photovoltaic (PV) power generation systems has brought new challenges to the topology identification and detection of traditional distribution networks. This article mainly studies the topology identification technology (TIT) of distributed PV low-voltage (LV) distribution network lines, aiming to design a topology identification method that can adapt to the dynamic changes of the power grid, have large-scale capacity, and improve system accuracy under the same conditions. At the same time, the data processing speed has been improved. This article first constructs a system model, including node model, edge model, and parameter model. It mathematically represents the topology structure of the power grid using graph theory and designs a topology recognition algorithm based on optimization techniques and state estimation. This algorithm is used to solve the distributed characteristics of power grid topology recognition, the difficulty of data collection, the dynamic diversity of power grid structure, the uncertainty of equipment parameters, the high computational complexity of data processing, and the communication constraints of power grid topology recognition. This algorithm adopts modern programming languages and parallel computing frameworks, making it easy to implement efficiently. The results on the simulation platform show that the highest recall rate for 22 test cases is 93.8%, and the response time for test cases is 425 ms to 980 ms, providing a fast response to the information space of the grid.

关键词： Low-voltage distributed Photovoltaic Distribution Network Topology Identification Technology Simulation Platform Recall Ratio

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Power and area-efficient digital filters for communication applications 1

Power and area-efficient digital filters for communication a...

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1st international conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Zode, Pradnya Zode, Pravin Dhondse, Shweta Jajulwar, Kapil K. Y.C.College of Engineering Deptt. of Electronics Engg. Nagpur India G H Raisoni College of Engineering Deptt. of Electronics and Telecommunication Engg. Nagpur India

ISBN: (纸本)9798350367720

The paper introduces an innovative time-dependent finite impulse response (FIR) filter designed for utilization in time-mode signal processing systems like mobile phones and digital transmitters-receivers. The filter's functioning structure is embedded in the principles of high-level transformation techniques like parallel processing and folding. In this paper 6-tap FIR filter is designed and implemented using parallel processing and folding techniques for low power consumption and area minimization. The proposed FIR filter is modeled in Xilinx using Verilog hardware descriptive language and synthesized with the XST tool. The target implementation platform is the Xilinx ML605 embedded development kit to investigate the LUTs and power consumption of the design. The proposed filter reduces the major concern parameters of a design as power and area. The implementation results discover that the area is reduced to 90.83% of the existing method and power is reduced to 67.25% of the existing method. The findings represent a significant step ahead in hardware efficiency optimization. © 2024 IEEE.

关键词： FIR filters

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A distributed Particle Swarm Optimization Algorithm Based on Apache Spark for Asynchronous parallel Training of Deep Neural Networks 24

A Distributed Particle Swarm Optimization Algorithm Based on...

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53rd international conference on parallel processing (ICPP)

作者： Capel, Manuel, I Holgado-Terriza, Juan A. Galiana-Velasco, Sergio Salguero, Alberto G. Univ Granada Software Engn Dept Granada Andalucia Spain Univ Malaga Dept Comp Sci & Programming Languages Malaga Andalucia Spain

ISBN: (纸本)9798400718021

Deep Learning Neural Networks (DLNN) require an immense amount of computation, especially in the training phase when multiple layers of intermediate neurons need to be built. The situation is even more dramatic today with the proliferation of applications with intelligence at the edge, not just in the cloud. Therefore, to meet the new requirements of edge computing, it is imperative to accelerate the execution phases of neural networks as much as possible. In this paper, we will focus on the algorithm known as Particle Swarm Optimization (PSO). It is a bio-inspired, stochastic optimization approach whose goal is to iteratively improve the solution to a given (usually complex) problem by attempting to approximate a given objective. The use of PSO in an edge computing environment has the potential to make the training of the DLNN there without the need to transfer resource-intensive tasks to the cloud. However, implementing an efficient PSO is not a straightforward process due to the complexity of the computations performed on the swarm of particles and the iterative execution until until a near-target solution with minimal error is achieved. In the present work, two parallelizations of the PSO algorithm have been implemented, both designed for a distributed execution environment (Apache Spark). The first PSO parallelization follows a synchronous scheme;i.e., the best global position found by particles is globally updated before the execution of the next iteration of the algorithm. This implementation proved to be more efficient for medium-sized datasets (<40000 data points). In contrast, the second implementation is an asynchronous parallel variant of the PSO algorithm, which showed lower execution time for large datasets (> 170,000 data points) compared to the first one. Additionally, it exhibits better scalability and elasticity with respect to increasing dataset size. Both variants of the PSO have been implemented to distribute the computational load (particle fit

关键词： Apache Spark Classification recall Deep Neural Networks GPU parallelism Optimization research Particle Swarm Optimization (PSO) Predictive Accuracy

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Adaptive resource allocation for reliable performance in heterogeneous distributed systems

Adaptive resource allocation for reliable performance in het...

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13th international conference on Algorithms and Architectures for parallel processing, ICA3PP 2013

作者： Hussin, Masnida Abdullah, Azizol Subramaniam, Shamala K. Department of Communication Technology and Networks Faculty of Computer Science and Information Technology University of Putra Malaysia 43400 UPM Serdang Selangor Malaysia

ISBN: (纸本)9783319038889

The rapid development of distributed systems has triggered the emergence of many new applications such as Cloud applications. Satisfaction on these systems in regards their services is an important indicator that reflect quality of IT resource management. In this paper, we address a reliability issue in the context of resource allocation that aims to improve performance of the distributed systems. We propose a heuristic scheduling by integrating different mapping and queuing strategies into allocation policy for suitably matching tasks and resources. Dynamic resource discovery and task classification are incorporated into the heuristic scheduling in pursuit of reliable decisions. Simulation experiments show that our approach achieves better response time and utilization compared to other heuristic approaches. © Springer international Publishing Switzerland 2013.

关键词： Resource allocation

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A distributed Directed Breadth-First Search Algorithm Based on Message-Passing Model for Efficient Line-of-Sight Computation 2020

A Distributed Directed Breadth-First Search Algorithm Based ...

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9th international conference on Software and Computer applications, ICSCA 2020

作者： Truong, Tuyen Phong Le, Toan Hai College of Engineering and Technology Can Tho University Viet Nam

ISBN: (纸本)9781450376655

This paper presents an efficient distributed algorithm for line-of-sight (LoS) computation using directed breadth-first search (DBFS). LoS computation could be achieved between objects located at different points of a digital-elevation-model (DEM) which could also match particular geographic or electromagnetic dynamic considerations. Cellular automata (CA) is efficient for modeling and simulating dynamic complex systems, especially suitable for parallel processing on grid cell data. Occam, a parallel programming language following the formalization of Communicating Sequential Processes (CSP), was introduced for achieving high performance on multi-core processors. The goal of this work is to produce a power profile as a function of the route for radio propagation analysis taking into account geographical topology, for example long-range (LoRa) technology. To evaluate the proposed approach, cell local behavior was developed in Occam for horizontal routing information based on a message-passing model in order to satisfy the requirements of distributed sensing networks, such as maximizing coverage area, saving energy consumption and improving system performance as well. © 2020 ACM.

关键词： Energy utilization

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Prototype implementation of a GPU-based interactive coupled fluid-structure simulation

Prototype implementation of a GPU-based interactive coupled ...

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13th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed Computing, SNPD 2012

作者： Henmi, Ryota Nishimura, Yusuke Suzuki, Hiroaki Fukuma, Shinji Mori, Shin-Ichiro Yamaguchi, Akinori Tomita, Shinji Dep. of Information Science Graduate School of Engineering University of Fukui Bunkyo 3-9-1 Fukui 910-8507 Japan Dep. of Information Science Graduate School of Informatics Kyoto University Sakyo-ku Kyoto 606-8501 Japan

ISBN: (纸本)9780769547619

This paper reports a prototype implementation of 3D Fluid-Structure Simulation. In this implementation, heartbeat fluid flows inside a rectangular tube where the operator can interactively change the width of the tube. In order to achieve interactive simulation speed, some parts of the simulation is accelerated by GPU. For further improvement of the simulation speed, two techniques have been examined: the first one reduces the communication between CPU and GPU, and the second one offloads a whole fluid flow simulation onto GPU. © 2012 IEEE.

关键词： Graphics processing unit

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Commercial applications for high-performance computing

Commercial applications for high-performance computing

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Commercial applications for High-Performance Computing

The proceedings contain 21 papers from conference on Commercial applications for High-Performance computing. Topics discussed include resource allocation framework for interactive television environments;resource management in peer-to-peer and grid computing;automatic parallelization of large-scale computational applications;Finite Difference Time Domain (FDTD) techniques on supercomputers;Monte Carlo simulation of multilattice thin film growth;data mining;search engines;industrial applications of high-performance computing for phylogeny reconstructing and parallel Fast Fourier Transform (FFT) approach for derivative pricing.

关键词： parallel processing systems

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