Row 29140

Row ID: 29140 | Dataset Entry | Axioma AXP Content Repository

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If you allow me, I would like to suggest my book "Accelerate Model Training with PyTorch 2.X" published by Packt. The book covers distributed training with CPUs/GPUs on single and multiple nodes. It also gives a brief introduction to HPC systems and their relation to ML workloads.

Nevertheless, if you are talking about distributed systems in the sense of distributed computing or high performance computing, I think a good start is understanding the distinct strategies of parallelism applied to the training processo of ML models. Search for data and model parallelism approaches to start.

FieldValue
text If you allow me, I would like to suggest my book "Accelerate Model Training with PyTorch 2.X" published by Packt. The book covers distributed training with CPUs/GPUs on single and multiple nodes. It also gives a brief introduction to HPC systems and their relation to ML workloads. Nevertheless, if you are talking about distributed systems in the sense of distributed computing or high performance computing, I think a good start is understanding the distinct strategies of parallelism applied to t…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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  "text": "If you allow me, I would like to suggest my book \"Accelerate Model Training with PyTorch 2.X\" published by Packt. The book covers distributed training with CPUs/GPUs on single and multiple nodes. It also gives a brief introduction to HPC systems and their relation to ML workloads.\n\nNevertheless, if you are talking about distributed systems in the sense of distributed computing or high performance computing, I think a good start is understanding the distinct strategies of parallelism applied to the training processo of ML models. Search for data and model parallelism approaches to start.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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