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Hugobros3
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Aug 5, 2024
| aql.kernarg_address = kernel_info.kernarg_segment; | ||
| aql.private_segment_size = kernel_info.private_segment_size; | ||
| aql.group_segment_size = kernel_info.group_segment_size; | ||
| aql.group_segment_size = (kernel_info.group_segment_size + 15) / 16 * kernel_info.group_segment_size + launch_params.lmem; |
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relevance of this change (the rounding part) ?
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It's to account for padding to align the start of the dynamic allocation.
stlemme
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Aug 5, 2024
| #[import(cc = "thorin", name = "opencl")] fn opencl_with_lmem(_dev: i32, _grid: (i32, i32, i32), _block: (i32, i32, i32), i32, _body: fn() -> ()) -> (); | ||
| #[import(cc = "thorin", name = "amdgpu_hsa")] fn amdgpu_hsa_with_lmem(_dev: i32, _grid: (i32, i32, i32), _block: (i32, i32, i32), i32, _body: fn() -> ()) -> (); | ||
| #[import(cc = "thorin", name = "amdgpu_pal")] fn amdgpu_pal_with_lmem(_dev: i32, _grid: (i32, i32, i32), _block: (i32, i32, i32), i32, _body: fn() -> ()) -> (); | ||
| #[import(cc = "thorin")] fn local_memory() -> &mut addrspace(3)[u8]; |
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Rename that to shared_memory_base to be more specific
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We decided to call it "local memory" since that's a more adequate/common moniker outside of CUDA. But we can call it local_memory_base() I guess.
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| fn @@cuda(dev: i32, grid: (i32, i32, i32), block: (i32, i32, i32), body: fn() -> ()) { cuda_with_lmem(dev, grid, block, 0, body) } | ||
| fn @@nvvm(dev: i32, grid: (i32, i32, i32), block: (i32, i32, i32), body: fn() -> ()) { nvvm_with_lmem(dev, grid, block, 0, body) } | ||
| fn @@opencl(dev: i32, grid: (i32, i32, i32), block: (i32, i32, i32), body: fn() -> ()) { opencl_with_lmem(dev, grid, block, 0, body) } | ||
| fn @@amdgpu_hsa(dev: i32, grid: (i32, i32, i32), block: (i32, i32, i32), body: fn() -> ()) { amdgpu_hsa_with_lmem(dev, grid, block, 0, body) } | ||
| fn @@amdgpu_pal(dev: i32, grid: (i32, i32, i32), block: (i32, i32, i32), body: fn() -> ()) { amdgpu_pal_with_lmem(dev, grid, block, 0, body) } |
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@@ should be @ at the function
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This adds a parameter to allocate a given amount of dynamic shared memory upon kernel launch. Wrapper functions that just pass 0 are provided for backwards compatibility with existing code. Currently implemented for CUDA only, other platforms will error.
corresponding thorin changes: AnyDSL/thorin#144