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This book presents task-scheduling techniques for emerging complex
parallel architectures including heterogeneous multi-core
architectures, warehouse-scale datacenters, and distributed big
data processing systems. The demand for high computational capacity
has led to the growing popularity of multicore processors, which
have become the mainstream in both the research and real-world
settings. Yet to date, there is no book exploring the current
task-scheduling techniques for the emerging complex parallel
architectures. Addressing this gap, the book discusses
state-of-the-art task-scheduling techniques that are optimized for
different architectures, and which can be directly applied in real
parallel systems. Further, the book provides an overview of the
latest advances in task-scheduling policies in parallel
architectures, and will help readers understand and overcome
current and emerging issues in this field.
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Network and Parallel Computing - 16th IFIP WG 10.3 International Conference, NPC 2019, Hohhot, China, August 23-24, 2019, Proceedings (Paperback, 1st ed. 2019)
Xiaoxin Tang, Quan Chen, Pradip Bose, Weiming Zheng, Jean-Luc Gaudiot
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R1,590
Discovery Miles 15 900
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 16th IFIP WG 10.3
International Conference on Network and Parallel Computing, NPC
2019, held in Hohhot, China, in August 2019. The 22 full and 11
short papers presented in this volume were carefully reviewed and
selected from 107 submissions. They were organized in topical
sections named: graph computing; NOC and networks; neural networks;
big data and cloud; HPC; emerging topics; memory and file system.
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