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[XPU][TritonGPUToLLVM] Avoid bank conflicts in sub-group transposes #2769

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Merged
merged 1 commit into from
Nov 21, 2024
+440 −242
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[XPU][TritonGPUToLLVM] Avoid bank conflicts in sub-group transposes #2769

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6 changes: 3 additions & 3 deletions test/Conversion/intel/intel-allocate-shared-memory.mlir
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 1 :
// Check scracth memory configuration for different sub-group transpose-like layout conversions.

// CHECK-LABEL: module attributes
// CHECK-SAME: triton_gpu.shared = 512 : i32
// CHECK-SAME: triton_gpu.shared = 544 : i32
module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 1 : i32, "triton_gpu.threads-per-warp" = 16 : i32} {
tt.func @test_f16(%arg0: tensor<16x16xf16, #blocked>) -> tensor<16x16xf16, #blocked1> {
%0 = triton_gpu.convert_layout %arg0 : tensor<16x16xf16, #blocked> -> tensor<16x16xf16, #blocked1>
Expand All @@ -40,7 +40,7 @@ module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 1 :
// Check scracth memory configuration for different sub-group transpose-like layout conversions.

// CHECK-LABEL: module attributes
// CHECK-SAME: triton_gpu.shared = 1024 : i32
// CHECK-SAME: triton_gpu.shared = 1088 : i32
module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 1 : i32, "triton_gpu.threads-per-warp" = 16 : i32} {
tt.func @test_f32(%arg0: tensor<16x16xf32, #blocked>) -> tensor<16x16xf32, #blocked1> {
%0 = triton_gpu.convert_layout %arg0 : tensor<16x16xf32, #blocked> -> tensor<16x16xf32, #blocked1>
Expand All @@ -56,7 +56,7 @@ module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 1 :
// Check scracth memory configuration for different sub-group transpose-like layout conversions.

// CHECK-LABEL: module attributes
// CHECK-SAME: triton_gpu.shared = 32768 : i32
// CHECK-SAME: triton_gpu.shared = 34816 : i32
module attributes {"triton_gpu.num-ctas" = 1 : i32, "triton_gpu.num-warps" = 8 : i32, "triton_gpu.threads-per-warp" = 16 : i32} {
tt.func @test_f32(%arg0: tensor<128x64xf32, #blocked>) -> tensor<128x64xf32, #blocked1> {
%0 = triton_gpu.convert_layout %arg0 : tensor<128x64xf32, #blocked> -> tensor<128x64xf32, #blocked1>
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