Topics in Parallel and Distributed Computing 1st ed. 2018 H 360 p. 18
目次
1 Introduction. 2 What do we need to know about parallel algorithms and their efficient implementation?.- 3 Modules for Teaching Parallel Performance Concepts.- 4 Scalability in Parallel Processing.- 5 Energy Efficiency Issues in Computing Systems.- 6 Scheduling for fault-tolerance.- 7 MapReduce for Beginners - The Clustered Data Processing Solution.- 8 The Realm of Graphical Processing Unit (GPU) Computing.- 9 Managing Concurrency in Mobile User Interfaces with Examples in Android.- 10 Parallel Programming for Interactive GUI Applications.- Scheduling in Parallel and Distributed Computing Systems.
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