[Numpy-discussion] Adopt Mersenne Twister 64bit?

Hi all, I am redirecting a discussion on github issue tracker here. My original post (https://github.com/numpy/numpy/issues/3137): "The current implementation of the RNG seems to be MT19937-32. Since 64-bit machines are common nowadays, I am suggesting adding or upgrading to MT19937-64. Thou

[Numpy-discussion] Numpy 1.7.0 with Intel MKL 11.0.2.146

Dear all, I'm at my wits end. I've followed Intel's own instructionson how to compile Numpy with Intel MKL. Everything compiled and linked fine and I've installed it locally in my user folder...There is one nasty problem. When

Re: [Numpy-discussion] Numpy 1.7.0 with Intel MKL 11.0.2.146

On 3/10/13, QT wrote: > Dear all, > > I'm at my wits end. I've followed Intel's own > instructionson > how to compile Numpy with Intel MKL. Everything compiled and linked > fine and I've installed it locally in my user folder...

Re: [Numpy-discussion] Numpy 1.7.0 with Intel MKL 11.0.2.146

On 3/10/13, Warren Weckesser wrote: > On 3/10/13, QT wrote: >> Dear all, >> >> I'm at my wits end. I've followed Intel's own >> instructionson >> how to compile Numpy with Intel MKL. Everything compiled and linked >> fine and I

Re: [Numpy-discussion] Numpy 1.7.0 with Intel MKL 11.0.2.146

Dear Warren, It's an Intel i7 950, 4 cores, 8 with hyper-threading. I used MKL 11.0.2.146, but I will read your link. It seems spot on. Best, Quyen On Sun, Mar 10, 2013 at 10:31 PM, Warren Weckesser < warren.weckes...@gmail.com> wrote: > On 3/10/13, Warren Weckesser wrote: > > On 3/10/13, QT