Suchergebnisse - IEEE International Conference on Algorithms and Architectures for Parallel Processing~

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    Proceedings fifth International Conference on algorithms and architectures for parallel processing von IEEE International Conference on Algorithms and Architectures for Parallel Processing, Zhou, Wanlei

    ISBN: 0769515126, 9780769515144, 0769515134, 9780769515137, 0769515142, 9780769515120
    Veröffentlicht: Los Alamitos ; Tokyo IEEE Computer Society 2002
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    Algorithms and architectures for parallel processing: 1997 3rd international conference, Melbourne, Australia, December 10-12 1997 von Goscinski, Andrzej, Zhou, Wanlei, Hobbs, Michael

    ISBN: 0780342291, 9780780342293
    Veröffentlicht: World Scientific Publishing Co. Pte. Ltd 1997
    “… This volume of proceedings describes the lower costs and higher degrees of integration of chip architecture which allow parallel processing …”
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    Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems, In: 2014 IEEE 28th International Parallel and Distributed Processing Symposium von McClure, James E., Wang, Hao, Prins, Jan F., Miller, Cass T., Feng, Wu-Chun

    ISSN: 1530-2075
    Veröffentlicht: United States 01.05.2014
    “… Large-scale simulation can provide a wide range of information needed to develop and validate theoretical models for multiphase flow in porous medium systems …”
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    Neural Speech Phase Prediction Based on Parallel Estimation Architecture and Anti-Wrapping Losses von Ai, Yang, Ling, Zhen-Hua

    ISSN: 2379-190X
    Veröffentlicht: IEEE 04.06.2023
    “… The proposed model is a cascade of a residual convolutional network and a parallel estimation architecture …”
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    InnerSP: A Memory Efficient Sparse Matrix Multiplication Accelerator with Locality-Aware Inner Product Processing von Baek, Daehyeon, Hwang, Soojin, Heo, Taekyung, Kim, Daehoon, Huh, Jaehyuk

    Veröffentlicht: IEEE 01.09.2021
    “… To mitigate the memory access overheads, recent accelerator designs advocated the outer product processing which minimizes input accesses but generates intermediate products to be merged to the final output matrix …”
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    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs von Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Veröffentlicht: IEEE 01.09.2021
    “… Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt computing-intensive algorithms on large-scale graphs …”
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    Splitwise: Efficient Generative LLM Inference Using Phase Splitting von Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

    Veröffentlicht: IEEE 29.06.2024
    “… Generative large language model (LLM) applications are growing rapidly, leading to large-scale deployments of expensive and power-hungry GPUs. Our …”
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