Výsledky vyhledávání - IEEE International Conference on Algorithms and Architectures for Parallel Processing

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    Algorithms and architectures for parallel processing: 1997 3rd international conference, Melbourne, Australia, December 10-12 1997 Autor Goscinski, Andrzej, Zhou, Wanlei, Hobbs, Michael

    ISBN: 0780342291, 9780780342293
    Vydáno: 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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    E-kniha
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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 Autor McClure, James E., Wang, Hao, Prins, Jan F., Miller, Cass T., Feng, Wu-Chun

    ISSN: 1530-2075
    Vydáno: 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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    Konferenční příspěvek
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    Neural Speech Phase Prediction Based on Parallel Estimation Architecture and Anti-Wrapping Losses Autor Ai, Yang, Ling, Zhen-Hua

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

    Vydáno: 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 Autor Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Vydáno: 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 Autor Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

    Vydáno: 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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    Konferenční příspěvek