Add various optimizations and Mega MoE benchmarks (#316)

* Merge with private repo

* Add Mega MoE Benchmark

* Minor fix

* Update

---------

Co-authored-by: Chenggang Zhao <chenggangz@deepseek.com>
This commit is contained in:
Zhean Xu
2026-04-24 18:41:37 +08:00
committed by GitHub
co-authored by Chenggang Zhao
parent 7f2a703ed5
commit 891d57b4db
21 changed files with 1276 additions and 372 deletions
@@ -29,6 +29,7 @@ public:
// Runtime arguments
void* y;
int* cumulative_local_expert_recv_stats;
int num_tokens;
layout::SymBuffer<> sym_buffer_ptrs;
@@ -91,6 +92,7 @@ static void __instantiate_kernel() {{
// TODO: optimize `args` copy
DG_CUDA_UNIFIED_CHECK(launch_kernel(kernel, config,
args.y,
args.cumulative_local_expert_recv_stats,
args.num_tokens,
args.sym_buffer_ptrs,
args.tensor_map_l1_acts,
@@ -112,6 +114,7 @@ static void sm100_fp8_fp4_mega_moe(
const torch::Tensor& l2_acts, const torch::Tensor& l2_acts_sf,
const torch::Tensor& l1_weights, const torch::Tensor& l2_weights,
const torch::Tensor& l1_weights_sf, const torch::Tensor& l2_weights_sf,
const std::optional<torch::Tensor> cumulative_local_expert_recv_stats,
const std::vector<int64_t>& sym_buffer_ptrs,
const int& rank_idx, const int& num_max_tokens_per_rank,
const int& num_experts_per_rank,
@@ -122,11 +125,12 @@ static void sm100_fp8_fp4_mega_moe(
) {
const auto num_ranks = static_cast<int>(sym_buffer_ptrs.size());
const auto num_experts = num_experts_per_rank * num_ranks;
const auto num_padded_sf_pool_tokens = static_cast<int>(l1_acts_sf.size(0));
// Heuristics
const auto config = get_mega_moe_config(
num_ranks, num_experts, num_experts_per_rank,
num_max_tokens_per_rank, num_tokens, num_topk, hidden, intermediate_hidden);
num_max_tokens_per_rank, num_tokens, num_topk, hidden, intermediate_hidden, num_padded_sf_pool_tokens);
// Make tensormap
constexpr int kGranK = 32;
@@ -175,6 +179,11 @@ static void sm100_fp8_fp4_mega_moe(
config.block_n, kGranK,
num_experts_per_rank, 0);
// Stats can be optional
int* cumulative_local_expert_recv_stats_ptr = nullptr;
if (cumulative_local_expert_recv_stats.has_value())
cumulative_local_expert_recv_stats_ptr = cumulative_local_expert_recv_stats->data_ptr<int>();
// Launch
const auto num_sms = device_runtime->get_num_sms();
const SM100FP8FP4MegaMoERuntime::Args args = {
@@ -186,6 +195,7 @@ static void sm100_fp8_fp4_mega_moe(
.fast_math = fast_math,
.config = config,
.y = y.data_ptr(),
.cumulative_local_expert_recv_stats = cumulative_local_expert_recv_stats_ptr,
.num_tokens = num_tokens,
.sym_buffer_ptrs = layout::SymBuffer<>(sym_buffer_ptrs, rank_idx),
.tensor_map_l1_acts = tensor_map_l1_acts,