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About the GPU category
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0
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2270
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November 2, 2016
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Errors reported during Pkg.test("CUDA")
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6
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76
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April 28, 2025
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Getting GPU info
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4
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1341
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April 24, 2025
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CUDA(.jl) memory errors for very large kernels
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24
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472
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April 22, 2025
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Val{N} + LinearIndices Causes Massive Compile-Time Unrolling
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2
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81
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April 20, 2025
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Possible to design a compiler for Raspberry Pi GPU?
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0
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84
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April 19, 2025
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How to avoid "unsupported dynamic function invocation" in CUDA with nested gradients
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2
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63
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April 15, 2025
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Is there a way to use @allowscalar in a heterogeneous manner using KernelAbstractions?
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3
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52
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April 10, 2025
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With ParallelStencil, is it possible to launch multiple kernels and sync later?
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7
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86
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April 9, 2025
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Block/Tile-Based GPU Programming (not Scratch)
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2
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143
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April 6, 2025
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Track function on profiler to CUDA documentation
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1
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31
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April 3, 2025
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Warning: Package cuDNN not found in current path
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4
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905
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April 2, 2025
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Optimize loss calculation on gpu
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0
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41
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March 28, 2025
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CUDA.jl write to global memory in PTX
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4
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74
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March 27, 2025
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Calculate associated Legendre polynomials on the GPU
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3
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63
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March 27, 2025
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Lightweight dependency for GPU programming
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7
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213
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March 27, 2025
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@inbounds slower
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8
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383
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March 25, 2025
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I32 indexing
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8
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396
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March 24, 2025
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Floating point exceptions on the gpu
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1
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70
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March 24, 2025
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Unable to use AMDGPU.jl on RX6600
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13
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196
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March 19, 2025
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Adapt BroadcastStyle for CUDA
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1
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68
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March 18, 2025
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Moving ahead with CUDA support
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2
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257
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March 17, 2025
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How to benchmark a function that uses KernelAbstractions kernels?
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4
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95
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March 17, 2025
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Occasional long delays in CUDA.jl
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17
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1672
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March 15, 2025
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Profiling CUDA kernels on the Jetson
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3
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81
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March 3, 2025
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Code snippet for multiGPU fft
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8
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1383
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March 3, 2025
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Bad interaction of Metal.jl and PyPlot on julia 1.11.2
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1
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103
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February 26, 2025
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Is there anything like vmap to vectorize a computation
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10
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220
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February 25, 2025
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CUDNN in Julia
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6
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1447
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February 25, 2025
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How does a kernel function in KernelAbstractions.jl work when the backend is a CPU?
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1
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133
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February 22, 2025
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