Corpus ID: 10166500

IMPLEMENTING REAL-TIME PARTITIONED CONVOLUTION ALGORITHMS ON CONVENTIONAL OPERATING SYSTEMS

@inproceedings{Battenberg2011IMPLEMENTINGRP,
  title={IMPLEMENTING REAL-TIME PARTITIONED CONVOLUTION ALGORITHMS ON CONVENTIONAL OPERATING SYSTEMS},
  author={Eric Battenberg and Rimas Avi{\^u}ienis},
  year={2011}
}
  • Eric Battenberg, Rimas Aviûienis
  • Published 2011
  • Computer Science
  • We describe techniques for implementing real-time partitioned convolution algorithms on conventional operating systems using two different scheduling paradigms: time-distributed (cooperative) and multi-threaded (preemptive). We discuss the optimizations applied to both implementations and present measurements of their performance for a range of impulse response lengths on a recent high-end desktop machine. We find that while the time-distributed implementation is better suited for use as a… CONTINUE READING
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    References

    SHOWING 1-10 OF 17 REFERENCES
    Real-time Musical Applications on an Experimental Operating System for Multi-Core Processors
    • 7
    • PDF
    Scalable Connectivity Processor for Computer Music Performance Systems
    • 38
    • PDF
    Optimal Filter Partition for Efficient Convolution with Short Input/Output Delay
    • 67
    • Highly Influential
    • PDF
    The Design and Implementation of FFTW3
    • 4,268
    • Highly Influential
    • PDF
    Experience of Optimizing FFT on Intel Architectures
    • 3
    • PDF
    Pthreads programming - a POSIX standard for better multiprocessing
    • 199
    • Highly Influential
    Efficient Convolution without Input/Output Delay
    • 206
    • Highly Influential
    Discrete-Time Signal Pro-cessing
    • 5,493
    • PDF
    Low Latency Convolution in One Dimension Via Two Dimensional Convolutions: An Intuitive Approach
    • 8
    • Highly Influential
    Efficient simultaneous multi-scale computation of ffts
    • FODAVA-09-01, pp. 1–3, Aug 2009.
    • 2009