Comments (1)
I fixed it by adding 4 at the end of the make command: make -j 4
. So only four cores will be used.
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Related Issues (20)
- 安装问题 HOT 1
- python horizontal 模型训练自动killed问题 HOT 4
- How to train a random forests model? HOT 4
- Specify Data Partition in Horizontal Federated Tree Training HOT 1
- A Problem in Build on Linux HOT 2
- Install issue on MacOS HOT 5
- Is there any solution to bind `FedTree-train` program to specific cpu cores in standalone simulation? HOT 2
- Horizontal Federated Random Forest - Errors for Multiclass Classification HOT 1
- Error imputing more than 10 different data paths (files - .csv) HOT 2
- Is it an alternative way to install NTL? HOT 2
- documentation issue HOT 2
- why does it still require nvidia thrust cuda after set USE_CUDA to OFF HOT 1
- not working with grpc-1.53.0 & server still waiting after finish training HOT 8
- Error_when building with -DDISTRIBUTED=ON HOT 6
- A question about data partition in vertical FL in standalone simulation HOT 4
- Multi-class classification problem HOT 2
- Stack smashing when handling multiple csv files. HOT 3
- Feature Request: add support for "wait-for-ready"
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