m4rs-mt/ILGPU

[QUESTION]: How to access CL_DEVICE_MAX_MEM_ALLOC_SIZE 17 days ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: Is it available to compile a Dynamic Method with ILGPU? 6 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: How does GetKernelInfo() work? 6 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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OpenCL Version Requirements for ILGPU 8 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: is there reasonably easy way to call CUDA nvJPEG or NPP functions? 9 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: How can I define kernel which depends generic specialized method? 9 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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#amd#cil#compiler#cpu#cuda#dotnet#gpgpu#gpgpu-computing#gpu#ilgpu#intel#jit#kernels#msil#nvidia#opencl#parallel#ptx

Explain how ArrayView2D works? 10 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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How to Achieve Zero-Copy Between CPU and GPU 11 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: GEtting a 2D Matrix from a 3D index 11 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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#amd#cil#compiler#cpu#cuda#dotnet#gpgpu#gpgpu-computing#gpu#ilgpu#intel#jit#kernels#msil#nvidia#opencl#parallel#ptx

[QUESTION]: Repeated Random Numbers with ThreadWiseRNG 12 months ago

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m4rs-mt/ILGPU

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ILGPU JIT Compiler for high-performance .Net GPU programs

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[QUESTION]: The Different Behavior between Copy From 1D View and 2D View about 1 year ago

AI Summary: The task is to explain the design decision behind the different behavior of `CopyFromCPU` for 1D and 2D views in the ILGPU library. Specifically, why `CopyFromCPU` for 2D arrays requires matching extents (DenseX == DenseY), unlike the flexibility offered by `ArrayView1D` when creating 2D views using `As2DDenseXView` and `As2DDenseYView`. The explanation should ideally reference relevant design documents or rationale.

Complexity: 4/5

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m4rs-mt/ILGPU

1.7K

ILGPU JIT Compiler for high-performance .Net GPU programs

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#amd#cil#compiler#cpu#cuda#dotnet#gpgpu#gpgpu-computing#gpu#ilgpu#intel#jit#kernels#msil#nvidia#opencl#parallel#ptx

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