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1 : /**
2 : * Copyright (c) 2025 Huawei Technologies Co., Ltd.
3 : * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4 : * CANN Open Software License Agreement Version 2.0 (the "License").
5 : * Please refer to the License for details. You may not use this file except in compliance with the License.
6 : * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
7 : * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8 : * See LICENSE in the root of the software repository for the full text of the License.
9 : */
10 :
11 : #include "coll_all_gather_aiv_rdma_executor.h"
12 :
13 : namespace hccl {
14 : constexpr u32 A_X_SIZE = 16;
15 :
16 0 : CollAllGatherAivRdmaExecutor::CollAllGatherAivRdmaExecutor(
17 0 : const HcclDispatcher dispatcher, std::unique_ptr<TopoMatcher>& topoMatcher)
18 0 : : CollAllGatherExecutor(dispatcher, topoMatcher)
19 : {
20 0 : DMAReduceFlag_ = false;
21 0 : desc_.isAivMode = true;
22 0 : }
23 :
24 0 : HcclResult CollAllGatherAivRdmaExecutor::CalcStreamNum(u32& streamNum)
25 : {
26 0 : streamNum = 0;
27 0 : HCCL_INFO("[CollAllGatherAivRdmaExecutor][CalcStreamNum] tag[%s] streamNum[%u]", tag_.c_str(), streamNum);
28 0 : return HCCL_SUCCESS;
29 : }
30 :
31 0 : HcclResult CollAllGatherAivRdmaExecutor::CalcCommInfo(std::vector<LevelNSubCommTransport>& opTransport)
32 : {
33 0 : CHK_RET(CalcLevel0CommInfo(TransportMemType::CCL_OUTPUT, TransportMemType::AIV_INPUT, opTransport));
34 0 : CHK_RET(CalcLevel1CommInfo(TransportMemType::CCL_INPUT, TransportMemType::CCL_OUTPUT, opTransport));
35 0 : return HCCL_SUCCESS;
36 : }
37 :
38 0 : HcclResult CollAllGatherAivRdmaExecutor::CalcLevel0CommInfo(
39 : TransportMemType inputType, TransportMemType outputType, std::vector<LevelNSubCommTransport>& opTransport)
40 : {
41 0 : CommParaInfo commParaLevel0(COMM_LEVEL0, CommType::COMM_TAG_MESH);
42 0 : commParaLevel0.meshSinglePlane = true;
43 0 : CHK_RET(CalcCommPlaneInfo(tag_, commParaLevel0, opTransport[COMM_LEVEL0], inputType, outputType));
44 0 : return HCCL_SUCCESS;
45 0 : }
46 :
47 0 : HcclResult CollAllGatherAivRdmaExecutor::CalNumBlocks(
48 : u32& numBlocks, u32 rankSize, [[maybe_unused]] u64 dataSize, [[maybe_unused]] HcclCMDType cmdType)
49 : {
50 0 : numBlocks = rankSize; // 默认情况使用rankSize个AIV
51 0 : u32 bestNumBlocks = numBlocks;
52 :
53 0 : CHK_PRT_RET(
54 : numBlocks_ < numBlocks,
55 : HCCL_WARNING(
56 : "[CollAllGatherAivRdmaExecutor][CalNumBlocks]aivCore[%u] is invalid, at least need [%u].", numBlocks_,
57 : numBlocks),
58 : HCCL_E_PARA);
59 :
60 0 : HCCL_INFO(
61 : "[CollAllGatherAivRdmaExecutor][CalNumBlocks] numBlocks is set to [%u], limit[%u], recommanded[%u]", numBlocks,
62 : numBlocks_, bestNumBlocks);
63 0 : return HCCL_SUCCESS;
64 : }
65 :
66 0 : HcclResult CollAllGatherAivRdmaExecutor::Orchestrate(OpParam& param, AlgResourceResponse& algRes)
67 : {
68 0 : HcclUs startut = TIME_NOW();
69 0 : tag_ = param.tag;
70 0 : algResResp_ = &algRes;
71 0 : u64 totalSize = param.DataDes.count * SIZE_TABLE[param.DataDes.dataType];
72 :
73 0 : ExecMem execMem;
74 0 : execMem.count = param.DataDes.count;
75 0 : execMem.scratchMem = algRes.scratchMem;
76 0 : execMem.inputPtr = param.inputPtr;
77 0 : execMem.outputPtr = param.outputPtr;
78 :
79 0 : if (workflowMode_ == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE) {
80 0 : execMem.inputMem = algRes.cclOutputMem;
81 0 : execMem.outputMem = algRes.aivInputMem; // 使用aivIn的第33M作为Flag区
82 : } else {
83 0 : execMem.inputMem = algRes.aivInputMem;
84 0 : execMem.outputMem = DeviceMem::create(algRes.paramOutputMem.ptr(), totalSize * topoAttr_.userRankSize);
85 : }
86 :
87 0 : HcclResult ret = KernelRun(param, execMem);
88 0 : CHK_PRT_RET(
89 : ret != HCCL_SUCCESS,
90 : HCCL_ERROR(
91 : "[CollAllGatherAivRdmaExecutor]errNo[0x%016llx] tag[%s] executor kernel run failed", HCCL_ERROR_CODE(ret),
92 : param.tag.c_str()),
93 : ret);
94 :
95 0 : HCCL_INFO(
96 : "tag[%s], AllGather executor orchestrate success, take time [%lld]us.", param.tag.c_str(),
97 : DURATION_US(TIME_NOW() - startut));
98 0 : return HCCL_SUCCESS;
99 0 : }
100 :
101 0 : HcclResult CollAllGatherAivRdmaExecutor::KernelRun(const OpParam& param, ExecMem& execMem)
102 : {
103 0 : HCCL_INFO("[CollAllGatherAivRdmaExecutor][KernelRun]AllGather aiv enter");
104 0 : HcclWorkflowMode workflow = workflowMode_;
105 0 : bool isOpbase = (workflow == HcclWorkflowMode::HCCL_WORKFLOW_MODE_OP_BASE);
106 0 : u32 perDataSize = SIZE_TABLE[param.DataDes.dataType];
107 :
108 : // 获取子通信域信息
109 0 : CHK_RET(CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1));
110 0 : SubCommInfo outerCommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
111 0 : u32 outerRankSize = outerCommInfo.localRankSize;
112 0 : u32 commIndex = outerCommInfo.localRank;
113 0 : CHK_RET(CheckCommSize(COMM_LEVEL1, commIndex + 1));
114 0 : SubCommInfo innerCommInfo = GetSubCommInfo(COMM_LEVEL1, commIndex);
115 0 : u32 serverIndex = innerCommInfo.localRank;
116 0 : u64 inputMemSize = perDataSize * param.DataDes.count;
117 :
118 0 : auto autoSelectedAlgTypeLevel1 = static_cast<u32>(algType_.algoLevel1);
119 0 : bool hugeData = IsHugeData(inputMemSize);
120 0 : auto opMeta = HcclOpMetaInfo::GetOneForAllGather(
121 : autoSelectedAlgTypeLevel1, hugeData, false, CopyPattern::BCOPY, false, true);
122 :
123 0 : CHK_RET(InitTask(dispatcher_, const_cast<Stream&>(param.stream), opMeta.isEnableCache, opMeta.GetCacheKey()));
124 0 : DeviceMem dstMem;
125 0 : u64 baseOffset = serverIndex * inputMemSize;
126 0 : if (isOpbase) {
127 0 : dstMem = execMem.inputMem.range(baseOffset, inputMemSize);
128 0 : CHK_SMART_PTR_NULL(dstMem);
129 : } else {
130 0 : baseOffset = serverIndex * inputMemSize * outerRankSize;
131 0 : u64 outerOffset = commIndex * inputMemSize;
132 0 : dstMem = execMem.inputMem.range(baseOffset + outerOffset, inputMemSize);
133 0 : CHK_SMART_PTR_NULL(dstMem);
134 : }
135 :
136 : // STP1，将数据从userinput内存拷贝到ccloutput内存的对应位置
137 0 : DeviceMem srcMem = DeviceMem::create(static_cast<u8*>(param.inputPtr), inputMemSize);
138 0 : HcclResult ret = HcclD2DMemcpyAsync(dispatcher_, dstMem, srcMem, const_cast<Stream&>(param.stream));
139 0 : CHK_PRT_RET(
140 : ret != HCCL_SUCCESS,
141 : HCCL_ERROR(
142 : "[CollAllGatherAivRdmaExecutor][KernelRun]AllGather 4PmeshHD memcpy Failed, Offset[%llu], Size[%llu].",
143 : baseOffset, inputMemSize),
144 : ret);
145 : // STP2， AI server 间 recursive halving doubling AllGather
146 0 : u64 hdCount = inputMemSize / perDataSize;
147 0 : std::unique_ptr<ExecutorBase> innerExecutor;
148 0 : if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_RING
149 0 : || (topoAttr_.isDiffDeviceModule && topoAttr_.serverNum == 1)) {
150 : // 1-单server-SDMA
151 : innerExecutor
152 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_RING, dispatcher_);
153 0 : HCCL_INFO("AllGather mesh: using ring algo inter-server.");
154 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR) {
155 : innerExecutor
156 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NHR, dispatcher_);
157 0 : HCCL_INFO("AllGather mesh: using nhr algo inter-server.");
158 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR_V1) {
159 : innerExecutor
160 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NHRV1, dispatcher_);
161 0 : HCCL_INFO("AllGather mesh: using nhr_v1 algo inter-server.");
162 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NB) {
163 : innerExecutor
164 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NB, dispatcher_);
165 0 : HCCL_INFO("AllGather mesh: using nonuniform-bruck algo inter-server.");
166 : } else {
167 0 : innerExecutor = AlgTemplateRegistry::Instance().GetAlgTemplate(
168 0 : TemplateType::TEMPLATE_ALL_GATHER_RECURSIVE_HALVING_DOUBLING, dispatcher_);
169 0 : HCCL_INFO("AllGather mesh: using halving-doubling algo inter-server.");
170 : }
171 0 : CHK_SMART_PTR_NULL(innerExecutor);
172 :
173 0 : DeviceMem rdmadstMem;
174 0 : if (isOpbase) {
175 0 : rdmadstMem = execMem.inputMem.range(0, inputMemSize * innerCommInfo.localRankSize);
176 0 : CHK_SMART_PTR_NULL(rdmadstMem);
177 : } else {
178 0 : hdCount = inputMemSize * outerRankSize / perDataSize;
179 0 : rdmadstMem = execMem.inputMem;
180 : }
181 :
182 0 : CHK_RET(innerExecutor->Prepare(
183 : rdmadstMem, rdmadstMem, execMem.inputMem, hdCount, param.DataDes.dataType, param.stream,
184 : HcclReduceOp::HCCL_REDUCE_RESERVED, INVALID_VALUE_RANKID, std::vector<Slice>(COMM_INDEX_0), 0));
185 :
186 0 : u32 rankSize = innerCommInfo.localRankSize;
187 0 : CHK_RET(innerExecutor->RegisterProfiler(
188 : (rankSize << PROF_RANKSIZE_OFFSET_OF_PLANEID) + serverIndex, PROF_STAGE_2, HCCL_EXEC_STEP_NOT_SET,
189 : param.stream));
190 :
191 0 : CHK_RET(RunTemplate(innerExecutor, innerCommInfo));
192 0 : CHK_RET(LaunchTask(dispatcher_, const_cast<Stream&>(param.stream)));
193 :
194 : // STP3 机内重排
195 : void* buffersIn[MAX_RANK_SIZE];
196 : void* buffersOut[MAX_RANK_SIZE];
197 :
198 0 : u32 localRank = outerCommInfo.localRank;
199 0 : u32 localRankSize = outerCommInfo.localRankSize;
200 :
201 : void* tmpAivBufferData;
202 : void* tmpAivBufferFlag;
203 :
204 0 : for (u32 i = 0; i < localRankSize; i++) {
205 0 : if (i != localRank) {
206 0 : CHK_RET(outerCommInfo.links[i]->GetRemoteMem(UserMemType::INPUT_MEM, &(tmpAivBufferData)));
207 0 : CHK_RET(outerCommInfo.links[i]->GetRemoteMem(UserMemType::OUTPUT_MEM, &(tmpAivBufferFlag)));
208 0 : buffersIn[i] = static_cast<u8*>(tmpAivBufferData);
209 0 : buffersOut[i] = static_cast<u8*>(tmpAivBufferFlag) + HCCL_MID_COUNT_32_MB;
210 : } else {
211 0 : buffersIn[i] = static_cast<u8*>(execMem.inputMem.ptr());
212 0 : buffersOut[i] = static_cast<u8*>(execMem.outputMem.ptr()) + HCCL_MID_COUNT_32_MB;
213 : }
214 : }
215 :
216 0 : u32 serverNum = innerCommInfo.localRankSize;
217 :
218 0 : AivOpArgs opArgs{
219 : HcclCMDType::HCCL_CMD_ALLGATHER,
220 0 : execMem.inputPtr,
221 0 : execMem.outputPtr,
222 0 : param.DataDes.count,
223 0 : param.DataDes.dataType,
224 : HCCL_REDUCE_RESERVED,
225 : 0,
226 0 : isOpbase};
227 : AivTopoArgs topoArgs{
228 : localRank,
229 : localRankSize,
230 0 : topoAttr_.isDiffDeviceModule ? topoAttr_.devicePhyId : A_X_SIZE,
231 : 0,
232 : serverNum,
233 0 : topoAttr_.deviceType,
234 0 : algoAttr_.identifier};
235 : u32 numBlocks;
236 0 : CHK_PRT_RET(
237 : CalNumBlocks(numBlocks, localRankSize) != HCCL_SUCCESS, HCCL_ERROR("[%s] CalNumBlocks failed", __func__),
238 : HCCL_E_PARA);
239 0 : numBlocks_ = numBlocks;
240 0 : AivResourceArgs resourceArgs{param.tag, param.stream.ptr(), buffersIn, buffersOut, execMem.inputMem.size(),
241 0 : numBlocks_, param.aivTag};
242 0 : AivAlgArgs algArgs{0};
243 0 : algArgs.execTimeOut = topoMatcher_->GetExecTimeOutConfig();
244 0 : algArgs.execTimeOutSet = true;
245 :
246 0 : struct AivProfilingInfo aivProfilingInfo;
247 0 : aivProfilingInfo.counter = opCounter_;
248 :
249 0 : CHK_RET(ExecuteKernelLaunch(opArgs, topoArgs, resourceArgs, algArgs, aivProfilingInfo));
250 0 : HCCL_INFO("[CollAllGatherAivRdmaExecutor][KernelRun]allGather aiv run success.");
251 0 : return HCCL_SUCCESS;
252 0 : }
253 :
254 0 : HcclResult CollAllGatherAivRdmaExecutor::Getlevel1CommRank(SubCommInfo& level1CommInfo)
255 : {
256 0 : if (CheckCommSize(COMM_LEVEL0, COMM_INDEX_0 + 1) != HCCL_SUCCESS) {
257 0 : return HCCL_E_UNAVAIL;
258 : }
259 0 : SubCommInfo level0CommInfo = GetSubCommInfo(COMM_LEVEL0, COMM_INDEX_0);
260 0 : u32 ringNum
261 0 : = (topoType_ == TopoType::TOPO_TYPE_8P_RING) ? LEVEL0_PLANE_NUM_IN_8PRING : LEVEL0_PLANE_NUM_IN_NPRING_SINGLE;
262 0 : u32 commIndex = (ringNum == LEVEL0_PLANE_NUM_IN_8PRING) ? topoAttr_.devicePhyId : level0CommInfo.localRank;
263 :
264 0 : if (CheckCommSize(COMM_LEVEL1, commIndex + 1) != HCCL_SUCCESS) {
265 0 : return HCCL_E_UNAVAIL;
266 : }
267 0 : level1CommInfo = GetSubCommInfo(COMM_LEVEL1, commIndex);
268 :
269 0 : return HCCL_SUCCESS;
270 0 : }
271 :
272 : HcclResult
273 0 : CollAllGatherAivRdmaExecutor::SelectTempAlg(std::unique_ptr<AlgTemplateBase>& level1TempAlg, u32 level1RankSize)
274 : {
275 0 : if (level1RankSize > 1) {
276 0 : if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_RING
277 0 : || (topoAttr_.isDiffDeviceModule && topoAttr_.serverNum == 1)) {
278 : level1TempAlg
279 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_RING, dispatcher_);
280 0 : HCCL_INFO("AllGather mesh: using ring algo inter-server.");
281 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR) {
282 : level1TempAlg
283 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NHR, dispatcher_);
284 0 : HCCL_INFO("AllGather mesh: using nhr algo inter-server.");
285 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NHR_V1) {
286 : level1TempAlg
287 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NHRV1, dispatcher_);
288 0 : HCCL_INFO("AllGather mesh: using nhr_v1 algo inter-server.");
289 0 : } else if (algType_.algoLevel1 == AlgTypeLevel1::ALG_LEVEL1_NB) {
290 : level1TempAlg
291 0 : = AlgTemplateRegistry::Instance().GetAlgTemplate(TemplateType::TEMPLATE_ALL_GATHER_NB, dispatcher_);
292 0 : HCCL_INFO("AllGather mesh: using nonuniform-bruck algo inter-server.");
293 : } else {
294 0 : level1TempAlg = AlgTemplateRegistry::Instance().GetAlgTemplate(
295 0 : TemplateType::TEMPLATE_ALL_GATHER_RECURSIVE_HALVING_DOUBLING, dispatcher_);
296 0 : HCCL_INFO("AllGather mesh: using halving-doubling algo inter-server.");
297 : }
298 0 : CHK_SMART_PTR_NULL(level1TempAlg);
299 0 : return HCCL_SUCCESS;
300 : }
301 0 : return HCCL_E_UNAVAIL;
302 : }
303 :
304 : REGISTER_EXEC("AllGatherAivRdmaExecutor", AllGatherAivRdma, CollAllGatherAivRdmaExecutor);
305 :
306 : } // namespace hccl
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