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Generating random number from a binomial distribution
Generating 1000 random numbersGenerating a random number of progress barsEqualized PRNG number distributionGenerating random XML documentsGenerating new random items from a listRandom distribution in RubyRandom string generating functionSimple game outcome simulatorRandom number distribution programGenerating random N-dimensional arrays
$begingroup$
In my application of Monte Carlo simulation, the crucial part is to generate a random number from a binomial distribution with parameters n = size and p = 0.5. Here is my current implementation
#include <stdio.h>
#include <stdint.h>
#include <x86intrin.h>
int64_t rbinom(int64_t size)
if (!size)
return 0;
int64_t result = 0;
while (size >= 64)
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64);
size -= 64;
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64 & ~(UINT64_MAX << size));
return result;
However, the result of benchmarking terrifies me:
I'm spending 99.68% of the runtime on this function! How can I optimize it?
The result doesn't need to be cryptographically secure, as long as it's good enough for Monte Carlo simulations.
performance c random statistics x86
$endgroup$
add a comment |
$begingroup$
In my application of Monte Carlo simulation, the crucial part is to generate a random number from a binomial distribution with parameters n = size and p = 0.5. Here is my current implementation
#include <stdio.h>
#include <stdint.h>
#include <x86intrin.h>
int64_t rbinom(int64_t size)
if (!size)
return 0;
int64_t result = 0;
while (size >= 64)
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64);
size -= 64;
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64 & ~(UINT64_MAX << size));
return result;
However, the result of benchmarking terrifies me:
I'm spending 99.68% of the runtime on this function! How can I optimize it?
The result doesn't need to be cryptographically secure, as long as it's good enough for Monte Carlo simulations.
performance c random statistics x86
$endgroup$
add a comment |
$begingroup$
In my application of Monte Carlo simulation, the crucial part is to generate a random number from a binomial distribution with parameters n = size and p = 0.5. Here is my current implementation
#include <stdio.h>
#include <stdint.h>
#include <x86intrin.h>
int64_t rbinom(int64_t size)
if (!size)
return 0;
int64_t result = 0;
while (size >= 64)
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64);
size -= 64;
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64 & ~(UINT64_MAX << size));
return result;
However, the result of benchmarking terrifies me:
I'm spending 99.68% of the runtime on this function! How can I optimize it?
The result doesn't need to be cryptographically secure, as long as it's good enough for Monte Carlo simulations.
performance c random statistics x86
$endgroup$
In my application of Monte Carlo simulation, the crucial part is to generate a random number from a binomial distribution with parameters n = size and p = 0.5. Here is my current implementation
#include <stdio.h>
#include <stdint.h>
#include <x86intrin.h>
int64_t rbinom(int64_t size)
if (!size)
return 0;
int64_t result = 0;
while (size >= 64)
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64);
size -= 64;
uint64_t random64;
while (!_rdrand64_step(&random64))
fprintf(stderr, "HW_RND_GEN not readyn");
result += _popcnt64(random64 & ~(UINT64_MAX << size));
return result;
However, the result of benchmarking terrifies me:
I'm spending 99.68% of the runtime on this function! How can I optimize it?
The result doesn't need to be cryptographically secure, as long as it's good enough for Monte Carlo simulations.
performance c random statistics x86
performance c random statistics x86
asked 9 mins ago
nalzoknalzok
311212
311212
add a comment |
add a comment |
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