-
Sparse tensor support is important in general machine learning especially for to store matrices of one-hot encoded vectors.
For CUDA backend, CuBLAS has a Sparse API.
For CPU, further investigatio…
-
This issue is still being written
See discussion in https://github.com/JuliaArrays/AxisArrays.jl/issues/84 for background
# Concepts
AxisArrays.jl is currently a mashup of distinct and mostly…
-
I found the following problem while usinf CURAND combined with CUDArt´s ´do´ loop
if I load:
`using CUDArt`
`using CURAND`
and then I run either:
`d_a = curand(Float64, 1000)`
`a = to_host(d_a)`
…
-
**We encountered a difference between the best found solution in the solver log for Xpress 9.2:**
```
Concurrent statistics:
Dual: 116729 simplex iterations, 64.75s
Barrier: 500 barrier a…
-
After `ChaChaStream` / `CUDAChaChaStream` gets garbage collected its state is still floating around somewhere in memory, which contains the key as well as any unconsumed keystream bytes that are still…
-
-
As [pointed out on julia-users](https://groups.google.com/forum/#!topic/julia-users/QkChqeKnd9g), we don't really talk about memory management in our documentation at all. There should probably be a c…
-
Hi,
I have developed a Arrayfire image processing algorithm in C++. The execution time was around 78-80 ms. Then, I re-implemented the algorithm via the .NET wrapper. Now the execution time is around …
-
This will require multiple steps:
- [ ] Register the C package with [Yggdrasil](https://github.com/JuliaPackaging/Yggdrasil), creating a Sphericart_jll package. This will require making sure we can…
-
One interesting use-case is to pass Julia functions as callbacks to `cufft`
https://devblogs.nvidia.com/parallelforall/cuda-pro-tip-use-cufft-callbacks-custom-data-processing/
> To register the c…