Stan Seibert seibert

## dbldbl.h
/*
 * Copyright (c) 2011-2013 NVIDIA Corporation. All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 *   Redistributions of source code must retain the above copyright notice,
 *   this list of conditions and the following disclaimer.
 *
 *   Redistributions in binary form must reproduce the above copyright notice,

## bisect_example.py
import numpy as np
from numba import jit

def root_func(x):
    return x**4 - 2*x**2 - x - 3

def compile_specialized_bisect(f):
    """
    Returns a compiled bisection implementation for ``f``.
    """

## numbapro_batch_fft.ipynb

      
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                / numbapro_batch_fft.ipynb
            
            
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              August 25, 2014 17:21
            
              
                NumbaPro Batch FFT Example
              
          
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## SimpleBenchmarks.ipynb

      
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                / SimpleBenchmarks.ipynb
            
            
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              December 8, 2014 17:47
            
              
                Simple Numba Benchmarks for comparing AVX and SSE
              
          
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## AVX_Alignment.ipynb

      
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              January 19, 2015 21:16
            
          
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## VectorizeBenchmark.ipynb

      
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## annotate_demo.py
import numpy as np
from numba import jit


@jit
def simple(x, out):
    for i in range(x.shape[0]):
        out[i] = x[i]**2 + 1


## annotate.html
<html>

<head>

<style>

.annotation_table {
color: #000000;
font-family: monospace;
margin: 5px;

## recurrence.ipynb

      
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## TimingTest.ipynb

      
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              August 7, 2015 14:50
            
          
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	/*
	* Copyright (c) 2011-2013 NVIDIA Corporation. All rights reserved.
	*
	* Redistribution and use in source and binary forms, with or without
	* modification, are permitted provided that the following conditions are met:
	*
	* Redistributions of source code must retain the above copyright notice,
	* this list of conditions and the following disclaimer.
	*
	* Redistributions in binary form must reproduce the above copyright notice,
	import numpy as np
	from numba import jit

	def root_func(x):
	return x*4 - 2x**2 - x - 3

	def compile_specialized_bisect(f):
	"""
	Returns a compiled bisection implementation for ``f``.
	"""
	import numpy as np
	from numba import jit


	@jit
	def simple(x, out):
	for i in range(x.shape[0]):
	out[i] = x[i]**2 + 1
	<html>

	<head>

	<style>

	.annotation_table {
	color: #000000;
	font-family: monospace;
	margin: 5px;