{
  "id": 221733,
  "title": "Maximize resources utilization in Kaggle kernel",
  "url": "/competitions/ranzcr-clip-catheter-line-classification/discussion/221733",
  "author_name": "Gianluca Rossi",
  "post_date": "2021-02-24T02:40:29.656000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi,</p>\n<p>I'm new to using Kaggle kernels and wondering how you make sure to get the most out of the computing resources (e.g., number of workers for the data loader, batch size, etc.)? On my local system, I'm using \"htop\" and \"nvtop\".</p>\n<p>Many thanks,<br>\nLuca</p>",
  "messages": [
    {
      "id": 1215877,
      "postDate": "2021-02-24T02:40:29.657Z",
      "content": "<p>Hi,</p>\n<p>I'm new to using Kaggle kernels and wondering how you make sure to get the most out of the computing resources (e.g., number of workers for the data loader, batch size, etc.)? On my local system, I'm using \"htop\" and \"nvtop\".</p>\n<p>Many thanks,<br>\nLuca</p>",
      "rawMarkdown": "Hi,\n\nI'm new to using Kaggle kernels and wondering how you make sure to get the most out of the computing resources (e.g., number of workers for the data loader, batch size, etc.)? On my local system, I'm using \"htop\" and \"nvtop\".\n\nMany thanks,\nLuca",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1215877": "Hi,\n\nI'm new to using Kaggle kernels and wondering how you make sure to get the most out of the computing resources (e.g., number of workers for the data loader, batch size, etc.)? On my local system, I'm using \"htop\" and \"nvtop\".\n\nMany thanks,\nLuca"
  }
}