Rafael Bernardelli bernardelli

bernardelli / experiment_multitype.rs

Created March 8, 2022 20:35

Testing grounds for implementation of algorithms that support many numpy numeric types

	use num_traits;
	use numpy::{npyffi, DataType, PyArray, PyArray1, PyArrayDyn};
	use pyo3::prelude::*;
	use pyo3::{exceptions::PyValueError, AsPyPointer, PyDowncastError, PyResult};

	//based on https://github.com/aleksander-mendoza/RustyNEAT/blob/42508c84d4564461067927fd1afb0db538a442fe/pylib/src/py_ndalgebra.rs#L763
	#[pyfunction]
	pub fn generic_test(input: &PyAny) -> PyResult<PyObject> {
	let (dtype, shape) = pick_array_info(input)?;

bernardelli / gravidade.cu

Last active August 24, 2021 14:42

Exemplo PyCuda + OpenGL

	#include <cuda.h>
	#include <curand.h>
	#include <curand_kernel.h>

	#define NTRIANGLES 20 // númetro de triângulos para desenhar cada círculo
	#define RAIO_M1 0.001f // tamanho do raio para massa = 1 u
	#define TIMESTEP_MS 50 // tempo entre os callbacks
	#define G 0.00000005f // constante gravitacional fictícia

	__device__ void generate_triangles(float2 pos, float m,

bernardelli / py_mp_example.py

Created May 11, 2018 01:23

Create a cancelable python multiprocessing job batch with ETA

	import numpy as np
	from multiprocessing import Process, Manager, Value, Array
	import time
	import humanize


	#actual computation
	def f(a):
	return a-1.0;
	# obs: with such a simple computation, there will advantage will be no computation time advantage.