![]() Where result is a 3D numpy.ndarray of dtype 'float32'. Perlin = fns.Noise(seed=seed, numWorkers=N_threads) Here is a simple example to generate Perlin-style noise on a 3D rectilinear ![]() ![]() Ideal number of threads is typically the number of physical cores, irrespective The number of threads, defaults to the number of virtual cores on the system. Range of 50-90 %, depending largely on the vectorized instruction set used. The generation of noise for large arrays. Parallelism is further enhanced by the use of concurrent.futures to multi-thread It may be installed via pip: pip install pyfastnoisesimd PyFastNoiseSIMD is a wrapper around Jordan Peck's synthetic noise libraryĪccelerated with SIMD instruction sets.
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