I wonder: how hard would it be to create a more 21th-century oriented BLAS,
relying more on code generation tools, and perhaps LLVM/JITting?
Wouldn't we get ten times the portability with one-tenth the lines of code?
Or is there too much dark magic going on in BLAS for such an approach to
come
Eelco Hoogendoorn hoogendoorn.ee...@gmail.com wrote:
I wonder: how hard would it be to create a more 21th-century oriented BLAS,
relying more on code generation tools, and perhaps LLVM/JITting?
Wouldn't we get ten times the portability with one-tenth the lines of code?
Or is there too much
This is a very basic question.
Suppose `a` and `b` are boolean arrays with the same shape.
Are there any considerations besides convenience in choosing
between:
ab a*b logical_and(a,b)
a|b a+b logical_or(a,b)
~aTrue-a logical_not(a)
I somewhat
On Sat, Apr 12, 2014 at 8:02 AM, Alan G Isaac alan.is...@gmail.com wrote:
This is a very basic question.
Suppose `a` and `b` are boolean arrays with the same shape.
Are there any considerations besides convenience in choosing
between:
ab a*b logical_and(a,b)
a|b
Agree that OpenBLAS is the most favorable route instead of starting from
scratch.
Btw, why is sparse BLAS not included as I've always been under the
impression that scipy sparse supports BLAS - no?
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On Sat, Apr 12, 2014 at 10:02 AM, Alan G Isaac alan.is...@gmail.com wrote:
Are there any considerations besides convenience in choosing
between:
ab a*b logical_and(a,b)
a|b a+b logical_or(a,b)
~aTrue-a logical_not(a)
Boolean - is being
BLIS seems like a nice project as well. I like the arbitrary striding; BLAS
lacking this has always annoyed me.
-Original Message-
From: Sturla Molden sturla.mol...@gmail.com
Sent: 12-4-2014 13:12
To: numpy-discussion@scipy.org numpy-discussion@scipy.org
Subject: Re:
From a 1d array, I want two arrays of indexes:
the first for elements that satisfy a criterion,
and the second for elements that do not. Naturally
there are many ways to do this. Is there a preferred way?
As a simple example, suppose for array `a` I want
np.flatnonzero(a0) and
On Sat, Apr 12, 2014 at 4:47 PM, Alan G Isaac alan.is...@gmail.com wrote:
As a simple example, suppose for array `a` I want
np.flatnonzero(a0) and np.flatnonzero(a=0).
Can I get them both in one go?
I don't think you can do better than
x = a 0
p, q = np.flatnonzero(x), np.flatnonzero(~x)
On Sa, 2014-04-12 at 16:47 -0400, Alan G Isaac wrote:
From a 1d array, I want two arrays of indexes:
the first for elements that satisfy a criterion,
and the second for elements that do not. Naturally
there are many ways to do this. Is there a preferred way?
As a simple example, suppose
On Sat, Apr 12, 2014 at 5:03 PM, Sebastian Berg
sebast...@sipsolutions.netwrote:
As a simple example, suppose for array `a` I want
np.flatnonzero(a0) and np.flatnonzero(a=0).
Can I get them both in one go?
Might be missing something, but I don't think there is a way to do it in
one go.
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