allreduce仿真问题咨询
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Description
我按照示例中的命令运行,可以得到和tutorial中相同的结果。
python3 ./astra-sim-alibabacloud/inputs/topo/gen_Topo_Template.py --ro -g 32 -gt H100 -bw 400Gbps -nvbw 1440Gbps
AS_SEND_LAT=2 AS_PXN_ENABLE=1 ./bin/SimAI_simulator -t 8 -w ./example/microAllReduce.txt -n ./Rail_Opti_SingleToR_32g_8gps_400Gbps_H100 -c ./astra-sim-alibabacloud/inputs/config/SimAI.conf
但是当我用如下命令增加GPU数量,重新运行,得出的结果没有任何改变。请帮忙看一下什么原因,谢谢!
python3 ./astra-sim-alibabacloud/inputs/topo/gen_Topo_Template.py --ro -g 64 -gt H100 -bw 400Gbps -nvbw 1440Gbps
AS_SEND_LAT=2 AS_PXN_ENABLE=1 ./bin/SimAI_simulator -t 8 -w ./example/microAllReduce.txt -n ./Rail_Opti_SingleToR_64g_8gps_400Gbps_H100 -c ./astra-sim-alibabacloud/inputs/config/SimAI.conf
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start with inputs/topo/gen_Topo_Template.py and inputs/config/SimAI.conf, then compare the generated 32-GPU and 64-GPU topology outputs. Re-run bin/SimAI_simulator with example/microAllReduce.txt for both topology names and capture the complete results; done means identifying why the reported outputs do not change or documenting the missing configuration or reproduction detail.
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Assessment
- Tech stack
- python
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100