Random Numbers

Usage of the HostAPI random methods matches that of the DeviceAPI. The HostRandom instance can be accessed in agent functions via FLAMEGPU->random.

These random numbers are seeded according to the simulation’s random seed specified at runtime. This can be read and updated via host functions (see further down this page).





Returns a uniformly distributed floating point number in the inclusive-exclusive range [0, 1).


min, max

Returns a uniformly distributed integer in the inclusive range [min, max].


Returns a normally distributed floating point number with mean 0.0 and standard deviation 1.0.


mean, stddev

Returns a log-normally distributed floating point number with the specified mean and standard deviation

When calling any of these methods the type must be specified. Most methods only support floating point types (e.g. float, double), with the exception of the parametrised uniform method which is restricted to integer types:

// Define an host function called random_hostfn
    // Generate a uniform random float [0, 1)
    const float uniform_float = FLAMEGPU->random.uniform<float>();
    // Generate a uniform random integer [1, 10]
    const int uniform_int = FLAMEGPU->random.uniform<int>(1, 10);

Seeding the Random State

Additionally the HostAPI random object has the ability to retrieve and update the seed used for random generation during the current model execution. However, for most users this will likely be unnecessary as the random seed can be configured before simulations are executed.

// Define an host function called random_hostfn2
FLAMEGPU_HOST_FUNCTION(random_hostfn2) {
    // Retrieve the current random seed
    const unsigned int old_seed = FLAMEGPU->random.getSeed();
    // Change the random seed to 12