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On my machine generating 1024\*1024\*32 random numbers takes about 10 seconds.
Here: http://www.fixstars.com/en/opencl/book/OpenCLProgrammingBook/mersenne-twister/ (and complete downloads here http…
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```
Assignment 4.
Time spent: 1 hour
Use the list of composite numbers to test Fermat's primality check. What is the
least composite number that you can find that fools the check, for `testF k` with
k…
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# Sighting report
bdevperf_submit_single() uses rand_r for 64 bit random numbers - it correctly uses RAND_MAX to build a 62 bit random number but the period of rand_r() is less than 32-bits so the co…
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I've noticed that the `mpiadapter` and `mc_base` classes initialize the random number generator with seeds that merely differ by the MPI rank. This is a bad practice and can lead to bias in situations…
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6a( IO Bool) -> Integer -> IO Bool
isMersennePrime f n =
do
isP
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Glow currently uses the Mersenne Twister engine, which is `std::mt19937`.
It turns out that this random number generator seeded with the same values generates different random numbers depending on …
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I am not sure if this is the case for everyone (as I am fairly new to Haskell) but I'd appreciate it if generating random numbers would be easier. In R it is as easy as `runif(n)`. But with this libra…
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I just stumbled across this project and was interested to test it out and compare performance with GMP. I am writing software to factor Mersenne numbers, and my use case deals mostly with 1 to 2 limb…
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**Describe the bug**
While running the same experiment on Linux and Windows I'm getting different results.
**To Reproduce**
Steps to reproduce the behavior:
library("BAS")
prefix = .Plat…
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The current Mersenne twister library limits us to `0xffffffff` (`16^8` or `4,294,967,296`) seeds, so we'd need a good source of entropy.
We don't need ultimate cryptographic-level security because
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