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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

共 1767 条记录，以下是111-120 订阅

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@neurIst - Towards a system architecture for advanced disease management through integration of heterogeneous data, computing, and complex processing services

@neurIST - Towards a system architecture for advanced diseas...

引用

21st IEEE international symposium on computer-Based Medical Systems

作者： Rajasekaran, H. Lo Iacono, L. Hasselmeyer, P. Fingberg, J. Summers, P. Benkner, S. Engelbrecht, G. Arbona, A. Chiarini, A. Friedrich, C. M. Hofmann-Apitius, M. Kumpf, K. Moore, B. Bijlenga, P. Iavindrasana, J. Mueller, H. Hose, R. D. Dunlop, R. Frangi, A. F. NEC Europe Ltd NEC Labs Europe IT Res Div St Augustin Germany Univ Oxford Oxford OX1 2JD England Univ Vienna Inst Sci Comp A-1010 Vienna Austria GridSyst SA Palma de Mallorca Spain B3C Bio Comp Competence Cent Bologna Italy Fraunhofer Inst SCAI St Augustin Germany IDAC Ireland Ltd Dublin Ireland Univ Geneva CH-1211 Geneva 4 Switzerland Univ Sheffield Sheffield S10 2TN S Yorkshire England Infermed London England Univ Pompeu Fabra Informat & Commun Technol Dept Barcelona Spain

ISBN: (纸本)9780769531656

This paper presents the system architecture of the @neurIst project, which aims at supporting the research and treatment of cerebral aneurysms by bringing together heterogeneous data, computing and complex processing services. The architecture is generic enough to adapt it to the treatment of other diseases beyond cerebral aneurysms. The paper describes the generic requirements of the system and presents the architecture, applications and middle-ware technologies used to realise the system and highlights the innovations in @neurIst.

关键词： Diseases

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A hybrid clustering algorithm for high-performance edge computing devices [Short] 21

A hybrid clustering algorithm for high-performance edge comp...

引用

21st IEEE international symposium on Parallel and Distributed computing (ISPDC)

作者： Laccetti, Giuliano Lapegna, Marco Romano, Diego Univ Naples Federico II Dept Math & Applicat Naples Italy CNR Inst High Performance Comp & Networking Naples Italy

ISBN: (数字)9781665488020

ISBN: (纸本)9781665488020

Clustering algorithms are efficient tools for discovering correlations or affinities within large datasets and are the basis of several Artificial Intelligence processes based on data generated by sensor networks. Recently, such algorithms have found an active application area closely correlated to the Edge computing paradigm. The final aim is to transfer intelligence and decision-making ability near the edge of the sensors networks, thus avoiding the stringent requests for low-latency and large-bandwidth networks typical of the Cloud computing model. In such a context, the present work describes a new hybrid version of a clustering algorithm for the NVIDIA Jetson Nano board by integrating two different parallel strategies. The algorithm is later evaluated from the points of view of the performance and energy consumption, comparing it with two high-end GPU-based computing systems. The results confirm the possibility of creating intelligent sensor networks where decisions are taken at the data collection points.

关键词： Edge computing hybrid parallelism clustering algorithms performance vs. energy consumption tradeoff

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Five years with the high productivity computing systems program - A perspective

Five years with the high productivity computing systems prog...

引用

21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Elnozahy, Elmootazbellah IBM Research Austin TX United States

ISBN: (纸本)1424409101

For the past five years, I had the very enviable task of leading IBM's effort in DARPA's high Productivity computing Systems (HPCS) program. IBM competed successfully with other contestants in and survived two down-selects, producing along the way ground-breaking research for peta-scale systems aimed at changing the status quo in high end computing. The HPCS program is unique in that it states productivity as a broader definition of the system value than just performance. Commercial viability is another goal, meant to add realism and produce usable systems at the end of the program with productivity and performance goals that well exceed the projected improvements using today's technology. This unprecedented mix adds interesting and challenging constraints on the research program, and the traditional ways of approaching the problem do not apply. This talk will give an overview of the challenges of running projects of this kind, and gives a forward looking statement about the future of the program and its projected impact on the industry and the academic communities.

关键词： computer programming

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Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data stream Processing on Edge computing 31

Monte-Carlo Tree Search and Reinforcement Learning for Recon...

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31st international symposium on computer architecture and high performance computing (SBAC-PAD)

作者： Veith, Alexandre da Silva de Assuncao, Marcos Dias Lefevre, Laurent Claude Bernard Univ Lyon 1 Univ Lyon ENS Lyon CNRSInriaParallel Comp Lab LIP F-69342 Lyon 07 France

ISBN: (纸本)9781728141947

Distributed stream Processing (DSP) applications are increasingly used in new pervasive services that process enormous amounts of data in a seamless and near real-time fashion. Edge computing has emerged as a means to minimise the time to handle events by enabling processing (i.e., operators) to be offloaded from the Cloud to the edges of the Internet, where the data is often generated. Deciding where to execute such operations (i.e., edge or cloud) during application deployment or at runtime is not a trivial problem. In this work, we employ Reinforcement Learning (RL) and Monte-Carlo Tree Search (MCTS) to reassign operators during application runtime. Experimental results show that RL and MCTS algorithms perform better than traditional placement techniques. We also introduce an optimisation to a MCTS algorithm, called MCTS-Best-UCT, that achieves similar latency with fewer operator migrations and faster execution time. In certain scenarios, the time needed by MCTS-Best-UCT to find the best end-to-end latency is at least 33% smaller than the time required by the other algorithms.

关键词： Reinforcement learning

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Using the Grid for enhancing the performance of a medical image search engine

Using the Grid for enhancing the performance of a medical im...

引用

21st IEEE international symposium on computer-Based Medical Systems

作者： Pitkanen, Mikko Juhani Zhou, Xin Hyvarinen, Antti E. J. Mueller, Henning Helsinki Inst Phys Technol Programme Helsinki Finland Univ Appl Sci Sierre Switzerland Aalto Univ Espoo Finland Univ & Hosp Geneva Geneva Switzerland

ISBN: (纸本)9780769531656

In this paper we show how Grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based image retrieval (CBIR) system and identifies the computationally challenging tasks in the system. For the computationally challenging tasks an efficient design is proposed that uses distributed Grid computing to carry out the image processing in a distributed and efficient way. The algorithms of the search system are executed by using a real medical image collection as input and a Grid computing infrastructure to provide the needed computing power. Finally, the results show how the image processing task that required tens of hours to complete can be processed by using only a fraction of the originally required computing time.

关键词： Grid computing

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Autonomous image segmentation by Competitive Unsupervised GrowCut 21

Autonomous image segmentation by Competitive Unsupervised Gr...

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21st international symposium on Symbolic and Numeric Algorithms for Scientific computing (SYNASC)

作者： Marginean, Radu Andreica, Anca Diosan, Laura Balint, Zoltan Babes Bolyai Univ Fac Math & Comp Sci Cluj Napoca Romania Cty Clin Emergency Hosp IMOGEN Res Inst Oradea Romania Babes Bolyai Univ Fac Phys Cluj Napoca Romania

ISBN: (纸本)9781728157245

In this paper, we introduce Competitive Unsupervised GrowCut, a cellular automata-based, unsupervised and autonomous algorithm that combines the label merging component of Unsupervised GrowCut with the soft label propagation mechanism of GrowCut. We evaluated our algorithm on two benchmark image segmentation datasets, along with two related methods proposed in the literature. We also provide a detailed comparative analysis of the three algorithms' segmentation performance and properties. Our analysis identified application-specific regimes that govern the relative performance of the analyzed algorithms.

关键词： image segmentation cellular automata computer vision

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Accelerating the LOBPCG method on sunway taihulight 21

Accelerating the LOBPCG method on sunway taihulight

引用

21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Yu, Tianyu Zhao, Yonghua Zhao, Lian Computer Network Information Center Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Computer Network Information Center Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728120584

LOBPCG is a numerical eigensolver which can be parallelly implemented. In this paper, methods of optimization suitable for Sunway TaihuLight are discussed cover the main computations of LOBPCG. Two-level parallel architecture is proposed and followed by the introduction of a communication-avoiding parallel algorithm of sparse matrix-vector product. The algorithm not only overlaps computation and MPI communication but also overlaps data transfer between main memory and the scratch memory on the core group. A data buffering strategy with automatic adjustment during the runtime is proposed. Then, a new implementation of dense matrix multiplication adapted to the Sunway architecture is proposed. The scalability results demonstrate our routines led to significant promotions. We also analyze the performance on the Hamilton matrix from the Density Matrix Renormalization Group (DMRG) method, which is widely used by the computational physicist. © 2019 IEEE.

关键词： Data transfer

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A reconfigurable computing engine for wavelet transforms

A reconfigurable computing engine for wavelet transforms

引用

21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Sun, Kang Pan, Xuezeng Ping, Lingdi College of Computer Science and Technology Zhejiang University Hangzhou 310027 China

ISBN: (纸本)1424409101

In the past a few years, wavelet transforms have become a hot topic of research. Discrete and continuous wavelet transforms have been widely used in signal and multimedia processing. Due to the high performance and flexibility of reconfigurable computing systems, it is very attractive to design a reconfigurable architecture for discrete and continuous wavelet transform of wide range of wavelet filters. In this paper, a unified computation framework for discrete and continuous wavelet transform based on lifting scheme and a reconfigurable architecture that includes reconfigurable lifting step arrays and reconfigurable address generator are proposed. The unified framework is the theory basis of this system. The step array is the computing core of this engine. And the address generator supports several memory scan pattern which is used to generate memory access addresses. In order to validate this architecture, an FPGA prototype is built based on Xilinx Virtexll FPGA to test the reconfiguration of 2-D discrete 5/3 and 9/7 transforms (defined in specification of JPEG2000) and 2-D continuous Haar wavelet transform. Furthermore, a 3-level decomposition for a 512×512 grayscale image is performed and the results show that the decomposition can be finished within 12.16ms when running at 20MHz. It can be concluded that this design is applicable and scalable. © 2007 IEEE.

关键词： Wavelet transforms

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Dynamically reconfigurable architecture for high-throughput hash function in key-value store 21

Dynamically reconfigurable architecture for high-throughput ...

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作者： Liu, Ke Zhao, Mengying Ju, Lei Jia, Zhiping School of Computer Science and Technology Shandong University China School of Software Shandong University China

ISBN: (纸本)9781728120584

Distributed in-memory key-value stores (KVSs), such as Redis and Memcached, are widely deployed in modern data centers. In Redis, the throughput of Murmurhash2 is important to the performance of the whole KVS, and further affects the whole server. In this paper, we propose a high-performance scalable architecture for Murmurhash2 to improve data locality and reduce the latency, and deploy partial reconfiguration scheme to maximize the ratio of performance/area. Experiment results on Xilinx SOC platform demonstrate that the proposed architecture can improve the throughput by approximate 1.4x and achieve up to 5.3x performance/watt gain compared with the typical Intel platform. © 2019 IEEE.

关键词： Hash functions

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Characterizations and architectural implications of NVM's external DRAM cache 21

Characterizations and architectural implications of NVM's ex...

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作者： Pan, Haiyang Liu, Yuhang Lu, Tianyue Chen, Mingyu University of Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology CAS Beijing China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9781728120584

To meet the memory capacity requirement of big-data applications, a promising architecture is that NVM (Non-Volatile Memory) is used as main memory and external DRAM (off-chip) is used as cache. Compared to LLC versus DRAM (referred to as L-DRAM), external DRAM cache versus NVM main memory (referred to as E-NVM) are significantly different in terms of capacity and latency, thus traditional design cannot be directly borrowed without reconsideration. In this paper, we explore the characteristics and architectural implications of E-NVM in diverse dimensions including cache line granularity, associativity, replacement policy and prefetching methods. Lots of hints have been found for the optimal design of this emerging architecture. © 2019 IEEE.

关键词： Dynamic random access storage

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