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@@ -1,26 +1,24 @@
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-// SPDX-FileCopyrightText: Copyright 2015 Graham Sellers, Richard Wright Jr. and Nicholas Haemel
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-// SPDX-License-Identifier: MIT
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-
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-// Code obtained from OpenGL SuperBible, Seventh Edition by Graham Sellers, Richard Wright Jr. and
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-// Nicholas Haemel. Modified to suit needs and optimize for subgroup
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+// SPDX-FileCopyrightText: Copyright 2023 yuzu Emulator Project
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+// SPDX-License-Identifier: GPL-3.0-or-later
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#version 460 core
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+#extension GL_KHR_shader_subgroup_basic : require
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+#extension GL_KHR_shader_subgroup_shuffle : require
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+#extension GL_KHR_shader_subgroup_shuffle_relative : require
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+#extension GL_KHR_shader_subgroup_arithmetic : require
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+
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#ifdef VULKAN
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-#extension GL_KHR_shader_subgroup_arithmetic : enable
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#define HAS_EXTENDED_TYPES 1
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#define BEGIN_PUSH_CONSTANTS layout(push_constant) uniform PushConstants {
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-#define END_PUSH_CONSTANTS \
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- } \
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- ;
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+#define END_PUSH_CONSTANTS };
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#define UNIFORM(n)
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#define BINDING_INPUT_BUFFER 0
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#define BINDING_OUTPUT_IMAGE 1
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#else // ^^^ Vulkan ^^^ // vvv OpenGL vvv
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-#extension GL_KHR_shader_subgroup_arithmetic : enable
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#extension GL_NV_gpu_shader5 : enable
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#ifdef GL_NV_gpu_shader5
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#define HAS_EXTENDED_TYPES 1
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@@ -43,19 +41,20 @@ END_PUSH_CONSTANTS
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layout(local_size_x = 32) in;
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layout(std430, binding = 0) readonly buffer block1 {
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- uvec2 input_data[gl_WorkGroupSize.x];
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+ uvec2 input_data[];
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};
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-layout(std430, binding = 1) writeonly coherent buffer block2 {
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- uvec2 output_data[gl_WorkGroupSize.x];
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+layout(std430, binding = 1) coherent buffer block2 {
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+ uvec2 output_data[];
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};
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layout(std430, binding = 2) coherent buffer block3 {
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uvec2 accumulated_data;
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};
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-shared uvec2 shared_data[gl_WorkGroupSize.x * 2];
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+shared uvec2 shared_data[2];
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+// Simple Uint64 add that uses 2 uint variables for GPUs that don't support uint64
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uvec2 AddUint64(uvec2 value_1, uvec2 value_2) {
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uint carry = 0;
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uvec2 result;
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@@ -64,61 +63,102 @@ uvec2 AddUint64(uvec2 value_1, uvec2 value_2) {
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return result;
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}
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-void main(void) {
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- uint id = gl_LocalInvocationID.x;
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- uvec2 base_value_1 = (id * 2) < max_accumulation_base ? accumulated_data : uvec2(0);
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- uvec2 base_value_2 = (id * 2 + 1) < max_accumulation_base ? accumulated_data : uvec2(0);
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- uint work_size = gl_WorkGroupSize.x;
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- uint rd_id;
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- uint wr_id;
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- uint mask;
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- uvec2 input_1 = input_data[id * 2];
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- uvec2 input_2 = input_data[id * 2 + 1];
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- // The number of steps is the log base 2 of the
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- // work group size, which should be a power of 2
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- const uint steps = uint(log2(work_size)) + 1;
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- uint step = 0;
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-
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- // Each invocation is responsible for the content of
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- // two elements of the output array
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- shared_data[id * 2] = input_1;
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- shared_data[id * 2 + 1] = input_2;
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- // Synchronize to make sure that everyone has initialized
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- // their elements of shared_data[] with data loaded from
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- // the input arrays
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+// do subgroup Prefix Sum using Hillis and Steele's algorithm
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+uvec2 subgroupInclusiveAddUint64(uvec2 value) {
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+ uvec2 result = value;
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+ for (uint i = 1; i < gl_SubgroupSize; i *= 2) {
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+ if (i <= gl_SubgroupInvocationID) {
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+ uvec2 other = subgroupShuffleUp(result, i); // get value from subgroup_inv_id - i;
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+ result = AddUint64(result, other);
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+ }
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+ }
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+ return result;
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+}
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+
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+// Writes down the results to the output buffer and to the accumulation buffer
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+void WriteResults(uvec2 result) {
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+ uint current_global_id = gl_GlobalInvocationID.x;
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+ uvec2 base_data = current_global_id < max_accumulation_base ? accumulated_data : uvec2(0);
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+ output_data[current_global_id] = result + base_data;
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+ if (max_accumulation_base >= accumulation_limit + 1) {
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+ if (current_global_id == accumulation_limit) {
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+ accumulated_data = result;
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+ }
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+ return;
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+ }
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+ // We have that ugly case in which the accumulation data is reset in the middle somewhere.
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barrier();
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- memoryBarrierShared();
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- // For each step...
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- for (step = 0; step < steps; step++) {
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- // Calculate the read and write index in the
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- // shared array
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- mask = (1 << step) - 1;
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- rd_id = ((id >> step) << (step + 1)) + mask;
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- wr_id = rd_id + 1 + (id & mask);
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- // Accumulate the read data into our element
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-
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- shared_data[wr_id] = AddUint64(shared_data[rd_id], shared_data[wr_id]);
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- // Synchronize again to make sure that everyone
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- // has caught up with us
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- barrier();
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- memoryBarrierShared();
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+ groupMemoryBarrier();
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+ if (current_global_id == accumulation_limit) {
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+ uvec2 value_1 = output_data[max_accumulation_base];
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+ accumulated_data = AddUint64(result, -value_1);
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}
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- // Add the accumulation
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- shared_data[id * 2] = AddUint64(shared_data[id * 2], base_value_1);
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- shared_data[id * 2 + 1] = AddUint64(shared_data[id * 2 + 1], base_value_2);
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+}
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+
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+void main() {
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+ uint subgroup_inv_id = gl_SubgroupInvocationID;
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+ uint subgroup_id = gl_SubgroupID;
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+ uint last_subgroup_id = subgroupMax(subgroup_inv_id);
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+ uint current_global_id = gl_GlobalInvocationID.x;
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+ uint total_work = gl_NumWorkGroups.x * gl_WorkGroupSize.x;
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+ uvec2 data = input_data[current_global_id];
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+ // make sure all input data has been loaded
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+ subgroupBarrier();
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+ subgroupMemoryBarrier();
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+
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+ uvec2 result = subgroupInclusiveAddUint64(data);
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+
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+ // if we had less queries than our subgroup, just write down the results.
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+ if (total_work <= gl_SubgroupSize) { // This condition is constant per dispatch.
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+ WriteResults(result);
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+ return;
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+ }
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+
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+ // We now have more, so lets write the last result into shared memory.
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+ // Only pick the last subgroup.
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+ if (subgroup_inv_id == last_subgroup_id) {
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+ shared_data[subgroup_id] = result;
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+ }
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+ // wait until everyone loaded their stuffs
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barrier();
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memoryBarrierShared();
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- // Finally write our data back to the output buffer
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- output_data[id * 2] = shared_data[id * 2];
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- output_data[id * 2 + 1] = shared_data[id * 2 + 1];
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- if (id == 0) {
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- if (max_accumulation_base >= accumulation_limit + 1) {
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- accumulated_data = shared_data[accumulation_limit];
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- return;
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+ // Case 1: the total work for the grouped results can be calculated in a single subgroup
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+ // operation (about 1024 queries).
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+ uint total_extra_work = gl_NumSubgroups * gl_NumWorkGroups.x;
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+ if (total_extra_work <= gl_SubgroupSize) { // This condition is constant per dispatch.
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+ if (subgroup_id != 0) {
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+ uvec2 tmp = shared_data[subgroup_inv_id];
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+ subgroupBarrier();
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+ subgroupMemoryBarrierShared();
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+ tmp = subgroupInclusiveAddUint64(tmp);
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+ result = AddUint64(result, subgroupShuffle(tmp, subgroup_id - 1));
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+ }
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+
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+ WriteResults(result);
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+ return;
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+ }
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+
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+ // Case 2: our work amount is huge, so lets do it in O(log n) steps.
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+ const uint extra = (total_extra_work ^ (total_extra_work - 1)) != 0 ? 1 : 0;
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+ const uint steps = 1 << (findMSB(total_extra_work) + extra);
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+ uint step;
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+ // Hillis and Steele's algorithm
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+ for (step = 1; step < steps; step *= 2) {
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+ if (current_global_id < steps && current_global_id >= step) {
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+ uvec2 current = shared_data[current_global_id];
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+ uvec2 other = shared_data[current_global_id - step];
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+ shared_data[current_global_id] = AddUint64(current, other);
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}
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- uvec2 value_1 = shared_data[max_accumulation_base];
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- uvec2 value_2 = shared_data[accumulation_limit];
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- accumulated_data = AddUint64(value_1, -value_2);
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+ // steps is constant, so this will always execute in ever workgroup's thread.
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+ barrier();
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+ memoryBarrierShared();
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+ }
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+ // Only add results for groups higher than 0
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+ if (subgroup_id != 0) {
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+ result = AddUint64(result, shared_data[subgroup_id - 1]);
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}
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+
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+ // Just write the final results. We are done
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+ WriteResults(result);
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}
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