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StackOverflow just reminded me of my [old post](https://stackoverflow.com/questions/28025739/vectorized-loop-for-dynamic-time-wrapping/28027537#28027537), where I made your implementation of dtw 435 t…
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As discussed with @karlnapf in #4424, there are several improvements/additions that could be made to the random number generation(RNG) API for SGMatrix/SGVector. Neither take advantage of the `CRandom…
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Suggestion: move the treatement of vectorized functions from Semantics to the printer
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```julia
kernel_u! = let N=N, xyd=xyd_brusselator, dx=step(xyd_brusselator)
@inline function (du, u, A, B, α, II, I, t)
i, j = Tuple(I)
x = xyd[I[1]]
y = xyd[I[2]]
…
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I have a work-in-progress implementation of vectorized operations on basic GLib types and possibly extended types as part of Numeric-GLib.
Here's some testcases for adding 4 `gint` simultaneously: …
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It would be useful to have a function that first tries the vectorized version of correct_parallax, then, for the rows that failed the analytic solution, try the solver approach.
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The following works as expected:
```python
@nb.njit
def finite(x):
return math.isfinite(x)
```
>>> finite(1.)
True
>>> finite(math.nan)
False
>>> finite(math.inf)
…
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There are quite a few algorithms which can be vectorized, or one should at least look into doing so. This issue lists all the algorithms which I think can be vectorized (and a few that shouldn't be wi…
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ATM if the conversation was ended with an actual grant then vectorize it
## Notes
- There is some level of confidence about the quality of the request if the conversation has approved via a data…
asaf updated
4 months ago
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https://github.com/dotnet/runtime/pull/97192 adds many more operations onto TensorPrimitives. Some are fully vectorized, others currently only have a scalar implementation. The following operations ne…