Vulkan: add hoisting support for row IDs and expert count in shaders (#26686)

* vulkan: add hoisting support for row IDs and expert count in shaders

* use hoisted row ids in coopmat2

* vulkan: address review feedback on count_experts
- use vk_op_count_experts_push_constants instead of a raw uint vector
- apply the fastdiv trick to the ne00 div/mod in count_experts
- compute the per-expert offsets with subgroupExclusiveAdd when the
  device supports it, keeping the serial path as fallback
- document the data_d layout and the hoisted_row_id_words bound
- drop a leftover debug print in ggml_vk_matmul_id

* vulkan: use init_pushconst_fastdiv for count_experts push constants

* vulkan: refine comments for row ID hoisting and data layout in count_experts shader

* Whitespace

---------

Co-authored-by: Jeff Bolz <jbolz@nvidia.com>
This commit is contained in:
ravel7524
2026-08-28 16:52:49 +02:00
committed by GitHub
co-authored by Jeff Bolz
parent 8663224818
commit 90c26fcd4b
7 changed files with 212 additions and 42 deletions
@@ -2,6 +2,11 @@
#extension GL_EXT_control_flow_attributes : enable
#ifdef USE_SUBGROUPS
#extension GL_KHR_shader_subgroup_basic : enable
#extension GL_KHR_shader_subgroup_arithmetic : enable
#endif
#include "types.glsl"
layout (push_constant) uniform parameter
@@ -11,6 +16,10 @@ layout (push_constant) uniform parameter
uint32_t nb00;
uint32_t nb01;
uint32_t a_offset;
uint32_t n_experts;
uint32_t hoist_row_ids;
uint32_t ne00mp;
uint32_t ne00L;
} p;
#define BLOCK_SIZE 256
@@ -21,16 +30,98 @@ layout (binding = 0) readonly buffer A {uint data_a[];};
layout (binding = 1) writeonly buffer D {uint data_d[];};
shared uint vals[BLOCK_SIZE];
shared uint offsets[BLOCK_SIZE];
shared uint cursors[BLOCK_SIZE];
// see init_fastdiv_values in ggml-vulkan.cpp
uint fastdiv(uint n, uint mp, uint L) {
uint msbs, lsbs;
// msbs = mulhi(n, mp)
umulExtended(n, mp, msbs, lsbs);
return (msbs + n) >> L;
}
// data_d layout when p.hoist_row_ids is set:
// [0, n_experts) per-expert row count
// [n_experts, 2*n_experts) per-expert start offset into the row id region
// [2*n_experts] total row count
// [2*n_experts + 1, ) row ids grouped by expert, packed as (i01 << 16) | (i00 & 0xffff)
// Otherwise only data_d[expert_id] is written, holding that expert's row count.
void main() {
const uint expert_id = gl_WorkGroupID.x;
const uint num_elements = p.ne00 * p.ne01;
const uint tid = gl_LocalInvocationID.x;
if (p.hoist_row_ids != 0) {
if (tid < p.n_experts) {
vals[tid] = 0;
}
barrier();
for (uint idx = tid; idx < num_elements; idx += BLOCK_SIZE) {
const uint i01 = fastdiv(idx, p.ne00mp, p.ne00L);
const uint i00 = idx - i01 * p.ne00;
const uint expert = data_a[p.a_offset + i01 * p.nb01 + i00 * p.nb00];
if (expert < p.n_experts) {
atomicAdd(vals[expert], 1);
}
}
barrier();
#ifdef USE_SUBGROUPS
if (gl_SubgroupID == 0) {
// pad the trip count so the subgroup ops stay in uniform control flow
const uint n_experts_padded = (p.n_experts + gl_SubgroupSize - 1) & ~(gl_SubgroupSize - 1);
uint base = 0;
for (uint expert = gl_SubgroupInvocationID; expert < n_experts_padded; expert += gl_SubgroupSize) {
const bool in_range = expert < p.n_experts;
const uint count = in_range ? vals[expert] : 0;
const uint offset = base + subgroupExclusiveAdd(count);
if (in_range) {
data_d[expert] = count;
data_d[p.n_experts + expert] = offset;
offsets[expert] = offset;
cursors[expert] = 0;
}
base += subgroupAdd(count);
}
if (subgroupElect()) {
data_d[2 * p.n_experts] = base;
}
}
#else
if (tid == 0) {
uint offset = 0;
for (uint expert = 0; expert < p.n_experts; ++expert) {
const uint count = vals[expert];
data_d[expert] = count;
data_d[p.n_experts + expert] = offset;
offsets[expert] = offset;
cursors[expert] = 0;
offset += count;
}
data_d[2 * p.n_experts] = offset;
}
#endif
barrier();
for (uint idx = tid; idx < num_elements; idx += BLOCK_SIZE) {
const uint i01 = fastdiv(idx, p.ne00mp, p.ne00L);
const uint i00 = idx - i01 * p.ne00;
const uint expert = data_a[p.a_offset + i01 * p.nb01 + i00 * p.nb00];
if (expert < p.n_experts) {
const uint row = atomicAdd(cursors[expert], 1);
const uint packed_row_id = (i01 << 16) | (i00 & 0xffffu);
data_d[2 * p.n_experts + 1 + offsets[expert] + row] = packed_row_id;
}
}
return;
}
uint count = 0;
for (uint idx = tid; idx < num_elements; idx += BLOCK_SIZE) {
const uint i01 = idx / p.ne00;
const uint i00 = idx % p.ne00;
const uint i01 = fastdiv(idx, p.ne00mp, p.ne00L);
const uint i00 = idx - i01 * p.ne00;
const uint a = data_a[p.a_offset + i01 * p.nb01 + i00 * p.nb00];
count += uint(a == expert_id);
+21 -14
View File
@@ -88,6 +88,9 @@ layout (push_constant) uniform parameter
uint nei1;
uint nbi1;
uint ne11;
uint padded_N;
uint n_experts;
uint hoist_row_ids;
#else
uint base_work_group_z;
uint num_batches;
@@ -214,27 +217,31 @@ void main() {
const uint loadstride_b = gl_WorkGroupSize.x * LOAD_VEC_B_EFF * LOAD_VEC_BATCH_B / BK;
#ifdef MUL_MAT_ID
#ifdef MUL_MAT_ID_USE_SUBGROUPS
if (bitCount(p.nei0) == 1) {
load_row_ids(expert_idx, true, ic);
if (p.hoist_row_ids != 0) {
load_row_ids_hoisted(expert_idx, ic);
} else {
load_row_ids(expert_idx, false, ic);
}
#ifdef MUL_MAT_ID_USE_SUBGROUPS
if (bitCount(p.nei0) == 1) {
load_row_ids(expert_idx, true, ic);
} else {
load_row_ids(expert_idx, false, ic);
}
#else
_ne1 = 0;
for (uint ii1 = 0; ii1 < p.nei1 && _ne1 < (ic + 1) * BN; ii1++) {
for (uint ii0 = 0; ii0 < p.nei0 && _ne1 < (ic + 1) * BN; ii0++) {
if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
if (_ne1 >= ic * BN) {
row_ids[_ne1 - ic * BN] = u16vec2(ii0, ii1);
_ne1 = 0;
for (uint ii1 = 0; ii1 < p.nei1 && _ne1 < (ic + 1) * BN; ii1++) {
for (uint ii0 = 0; ii0 < p.nei0 && _ne1 < (ic + 1) * BN; ii0++) {
if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
if (_ne1 >= ic * BN) {
row_ids[_ne1 - ic * BN] = u16vec2(ii0, ii1);
}
_ne1++;
}
_ne1++;
}
}
}
barrier();
barrier();
#endif
}
// Workgroup has no work
if (ic * BN >= _ne1) return;
@@ -67,6 +67,10 @@ layout (push_constant) uniform parameter
#endif
// N dimension for the B matrix can be >= p.N
uint padded_N;
#ifdef MUL_MAT_ID
uint n_experts;
uint hoist_row_ids;
#endif
} p;
@@ -225,6 +229,23 @@ void load_row_ids(uint expert_idx, bool nei0_is_pow2, uint ic) {
}
barrier();
}
void load_row_ids_hoisted(uint expert_idx, uint ic) {
_ne1 = uint(data_expert_count[expert_idx]);
const uint tile_begin = ic * BN;
const uint tile_count = tile_begin < _ne1 ? min(BN, _ne1 - tile_begin) : 0;
const uint expert_offset = uint(data_expert_count[p.n_experts + expert_idx]);
const uint row_ids_offset = 2 * p.n_experts + 1 + expert_offset + tile_begin;
for (uint i = gl_LocalInvocationIndex; i < tile_count; i += BLOCK_SIZE) {
const uint packed_row_id = uint(data_expert_count[row_ids_offset + i]);
const uint ii0 = packed_row_id & 0xffffu;
const uint ii1 = packed_row_id >> 16;
row_ids[i] = u16vec4(fastmod(ii0, p.ne11), ii1, ii0, 0);
}
barrier();
}
#endif
void main() {
@@ -266,7 +287,9 @@ void main() {
const uint ik = gl_WorkGroupID.x / blocks_m;
#ifdef MUL_MAT_ID
if (bitCount(p.nei0) == 1) {
if (p.hoist_row_ids != 0) {
load_row_ids_hoisted(expert_idx, ic);
} else if (bitCount(p.nei0) == 1) {
load_row_ids(expert_idx, true, ic);
} else {
load_row_ids(expert_idx, false, ic);
@@ -71,4 +71,19 @@ void load_row_ids(uint expert_idx, bool nei0_is_pow2, uint ic) {
barrier();
}
#endif // MUL_MAT_ID_USE_SUBGROUPS
void load_row_ids_hoisted(uint expert_idx, uint ic) {
_ne1 = uint(data_expert_count[expert_idx]);
const uint tile_begin = ic * BN;
const uint tile_count = tile_begin < _ne1 ? min(BN, _ne1 - tile_begin) : 0;
const uint expert_offset = uint(data_expert_count[p.n_experts + expert_idx]);
const uint row_ids_offset = 2 * p.n_experts + 1 + expert_offset + tile_begin;
for (uint i = gl_LocalInvocationIndex; i < tile_count; i += BLOCK_SIZE) {
const uint packed_row_id = uint(data_expert_count[row_ids_offset + i]);
row_ids[i] = u16vec2(packed_row_id & 0xffffu, packed_row_id >> 16);
}
barrier();
}
#endif // MUL_MAT_ID
@@ -56,6 +56,9 @@ layout (push_constant) uniform parameter
uint nei1;
uint nbi1;
uint ne11;
uint padded_N;
uint n_experts;
uint hoist_row_ids;
#else
uint base_work_group_z;
uint num_batches;
@@ -157,27 +160,31 @@ void main() {
const uint loadstride_b = BLOCK_SIZE * LOAD_VEC_B / BK;
#ifdef MUL_MAT_ID
#ifdef MUL_MAT_ID_USE_SUBGROUPS
if (bitCount(p.nei0) == 1) {
load_row_ids(expert_idx, true, ic);
if (p.hoist_row_ids != 0) {
load_row_ids_hoisted(expert_idx, ic);
} else {
load_row_ids(expert_idx, false, ic);
}
#ifdef MUL_MAT_ID_USE_SUBGROUPS
if (bitCount(p.nei0) == 1) {
load_row_ids(expert_idx, true, ic);
} else {
load_row_ids(expert_idx, false, ic);
}
#else
_ne1 = 0;
for (uint ii1 = 0; ii1 < p.nei1 && _ne1 < (ic + 1) * BN; ii1++) {
for (uint ii0 = 0; ii0 < p.nei0 && _ne1 < (ic + 1) * BN; ii0++) {
if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
if (_ne1 >= ic * BN) {
row_ids[_ne1 - ic * BN] = u16vec2(ii0, ii1);
_ne1 = 0;
for (uint ii1 = 0; ii1 < p.nei1 && _ne1 < (ic + 1) * BN; ii1++) {
for (uint ii0 = 0; ii0 < p.nei0 && _ne1 < (ic + 1) * BN; ii0++) {
if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
if (_ne1 >= ic * BN) {
row_ids[_ne1 - ic * BN] = u16vec2(ii0, ii1);
}
_ne1++;
}
_ne1++;
}
}
}
barrier();
barrier();
#endif
}
// Workgroup has no work
if (ic * BN >= _ne1) return;
@@ -1039,6 +1039,7 @@ void process_shaders() {
string_to_spv("cumsum_multipass2_f32", "cumsum_multipass2.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
string_to_spv("count_experts", "count_experts.comp", merge_maps(base_dict, {{"A_TYPE", "uint"}, {"D_TYPE", "uint"}}));
string_to_spv("count_experts_subgroup", "count_experts.comp", merge_maps(base_dict, {{"A_TYPE", "uint"}, {"D_TYPE", "uint"}, {"USE_SUBGROUPS", "1"}}));
for (std::string dim_str : {"", "_3d"}) {
for (bool bda : {false, true}) {