Task Scheduling for Multi-core and Parallel Architectures Challenges, Solutions and Perspectives /

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 multic...

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Bibliographic Details
Main Authors: Chen, Quan (Author), Guo, Minyi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Chapter 1 Introduction
  • Chapter 2 Conventional Task Scheduling - Chapter 3 Task Scheduling for Multi-socket Architecture
  • Chapter 4 Task Scheduling for NUMA-enabled Architecture
  • Chapter 5 Task Scheduling for Asymmetric Multi-core Architecture
  • Chapter 6 Task Scheduling for Heterogeneous Parallel Architecture - Chapter 7 Task Scheduling for Datacenter
  • Chapter 8 Task Scheduling for Distributed System
  • Chapter 9 Summary and Perspectives.