Numpy Intel IPP signal.
Project description
Introduction
Numpy Intel IPP Signal is a Python wrapper for Intel IPP Signal functions.
Principles
Numpy Intel IPP Signal is based on a Setup and Payoff strategy
- Setup : First Numpy data buffers and Intel IPP Signal operations are setup, this step can be slow.
- Payoff : Then operations are executed as fast as possible with Intel IPP Signal or Numpy backend functions.
Example
# Two Numpy data buffers
src1 = numpy.ones(100, dtype=numpy.float32)
src2 = numpy.zeros(100, dtype=numpy.float32)
# A result buffer
dst = numpy.empty(100, dtype=numpy.float32)
# Intel IPP Signal Add operation
add = numpy_ipps.Add(dtype=numpy.float32)
# Unpack Numpy buffer for fast access
with numpy_ipps.utils.context(src1, src2, dst):
add(src1, src2, dst) # Fast addition: dst[n] <- src1[n] + src2[n]
See more details at ReadTheDocs.io.
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