CUDA accelerated audio digital signal processing for real-time algorithms

Jillings, N. and Wang, Y. (2014) CUDA accelerated audio digital signal processing for real-time algorithms. In: 137th Audio Engineering Society Convention 2014, 9 October 2014 through 12 October 2014, Los Angeles; United States.

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Abstract

This paper investigates the use of idle graphics processors to accelerate audio DSP for real-time algorithms. Several common algorithms have been identified for acceleration and were executed in multiple thread and block configurations to ascertain the desired configuration for the different algorithms. The GPU and CPU performing on the same data sizes and algorithm are compared against each other. From these results the paper discusses the importance of optimising the code for GPU operation including the allocating shared resources, optimising memory transfers and forced serialisation of feedback loops. It also introduces a new method for audio processing using GPU's as the default processor instead of an accelerator.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Algorithms, Real time systems, Signal processing, Audio processing, Data size, Feed-back loop, Graphics processor, Multiple threads, Real time algorithms, Shared resources, Audio signal processing
Subjects: G400 Computer Science
Divisions: UoA Collections > UoA11: Computer Science and Informatics
Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Digital Media Technology
Depositing User: Yasser Nawaz
Date Deposited: 19 Jul 2016 13:17
Last Modified: 19 Jul 2016 13:17
URI: http://www.open-access.bcu.ac.uk/id/eprint/1946

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