Comments (2)
Hi @NaelsonDouglas. Thanks for your interest! I've taken a glance at your proposal. The main thing would be to flesh it out with some more specifics. Which algorithms will you tackle? How would you leverage CUDArt? Are the kernels written in julia, C/C++, or some combination? Can you break the tasks down into steps? What kind of milestones do you envision?
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Thanks @timholy,
I'm taking note of your observations and editing the doc based on them. Since the deadline is almost now, I'm going to write in the doc first and then I can answer here.
I appreciate your attention.
Naelson Douglas
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Related Issues (20)
- Tests fail on Windows with 0.6 HOT 1
- Info about upcoming removal of packages in the General registry
- Support for ptx modules with external functions HOT 2
- Does CUDArt support cuda 8.0? HOT 1
- triggering gc based on gpu memory
- CUDArt assumptions not robust
- Precompile Error HOT 1
- Intermittent GC-related test failure (`isempty(cuda_ptrs)`) HOT 2
- New tag HOT 2
- Updated build script for visual studio 17 but get compile errors HOT 2
- error could not load library "libnvidia-ml" HOT 4
- Makefile needs to select correct gcc compiler HOT 1
- Rename types to CuArray, CuMatrix and so forth for consistency with CUDAdrv?
- CUDArt should not rely on `nvidia-smi` or `nvml` on Mac OSX HOT 31
- CUDArt fails to build when no CUDA device is present
- gcc5.4.0 support HOT 1
- OOB during package build HOT 7
- No method matching reset(::Cudadrv.CuPrimaryContext) HOT 3
- GCC Version On CUDA 8.0 HOT 3
- Unified Memory support HOT 11
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