{
  "id": 435981,
  "title": "Related Paper : Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.",
  "url": "/competitions/predict-ai-model-runtime/discussion/435981",
  "author_name": "",
  "post_date": "2023-08-31T14:13:43.991626900Z",
  "votes": 5,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.</p>\n<p><a href=\"https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf\" target=\"_blank\">https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf</a></p>",
  "messages": [
    {
      "id": "2417244",
      "postDate": "08/31/2023 14:13:43",
      "content": "<p>Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.</p>\n<p><a href=\"https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf\" target=\"_blank\">https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf</a></p>",
      "rawMarkdown": "Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.\n\n[https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf](https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf)",
      "votes": null
    },
    {
      "id": "2417547",
      "postDate": "08/31/2023 16:52:03",
      "content": "<p>Here is the list of papers about performance prediction for models on TPUs specifically (also referenced in our GitHub repo):</p>\n<ul>\n<li>Tile model: <a href=\"https://arxiv.org/pdf/2008.01040.pdf\" target=\"_blank\">https://arxiv.org/pdf/2008.01040.pdf</a></li>\n<li>Layout model: <a href=\"https://arxiv.org/abs/2305.12322\" target=\"_blank\">https://arxiv.org/abs/2305.12322</a></li>\n<li>Dataset: <a href=\"https://arxiv.org/pdf/2308.13490.pdf\" target=\"_blank\">https://arxiv.org/pdf/2308.13490.pdf</a></li>\n</ul>",
      "rawMarkdown": "Here is the list of papers about performance prediction for models on TPUs specifically (also referenced in our GitHub repo):\n- Tile model: https://arxiv.org/pdf/2008.01040.pdf\n- Layout model: https://arxiv.org/abs/2305.12322\n- Dataset: https://arxiv.org/pdf/2308.13490.pdf",
      "votes": null
    },
    {
      "id": "2417565",
      "postDate": "08/31/2023 16:59:51",
      "content": "<p>Hey! Thank you so much for sharing! This is really helpful! Much appreciated! :)</p>",
      "rawMarkdown": "Hey! Thank you so much for sharing! This is really helpful! Much appreciated! :)",
      "votes": null
    },
    {
      "id": "2417593",
      "postDate": "08/31/2023 17:25:03",
      "content": "<p>Thank you for sharing the paper, <a href=\"https://www.kaggle.com/ahsuna123\" target=\"_blank\">@ahsuna123</a> </p>",
      "rawMarkdown": "Thank you for sharing the paper, @ahsuna123",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2417547,
      "author_name": "mangpophothilimthana",
      "author_url": "",
      "post_date": "08/31/2023 16:52:03",
      "content": "<p>Here is the list of papers about performance prediction for models on TPUs specifically (also referenced in our GitHub repo):</p>\n<ul>\n<li>Tile model: <a href=\"https://arxiv.org/pdf/2008.01040.pdf\" target=\"_blank\">https://arxiv.org/pdf/2008.01040.pdf</a></li>\n<li>Layout model: <a href=\"https://arxiv.org/abs/2305.12322\" target=\"_blank\">https://arxiv.org/abs/2305.12322</a></li>\n<li>Dataset: <a href=\"https://arxiv.org/pdf/2308.13490.pdf\" target=\"_blank\">https://arxiv.org/pdf/2308.13490.pdf</a></li>\n</ul>",
      "votes": null,
      "replies": [
        {
          "id": 2417565,
          "author_name": "ahsuna123",
          "author_url": "",
          "post_date": "08/31/2023 16:59:51",
          "content": "<p>Hey! Thank you so much for sharing! This is really helpful! Much appreciated! :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2417593,
      "author_name": "samihaija",
      "author_url": "",
      "post_date": "08/31/2023 17:25:03",
      "content": "<p>Thank you for sharing the paper, <a href=\"https://www.kaggle.com/ahsuna123\" target=\"_blank\">@ahsuna123</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2417244": "Runtime Performance Prediction for Deep Learning Models with Graph Neural Network.\n\n[https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf](https://www.microsoft.com/en-us/research/uploads/prod/2021/02/dnnperf.pdf)",
    "2417547": "Here is the list of papers about performance prediction for models on TPUs specifically (also referenced in our GitHub repo):\n- Tile model: https://arxiv.org/pdf/2008.01040.pdf\n- Layout model: https://arxiv.org/abs/2305.12322\n- Dataset: https://arxiv.org/pdf/2308.13490.pdf",
    "2417565": "Hey! Thank you so much for sharing! This is really helpful! Much appreciated! :)",
    "2417593": "Thank you for sharing the paper, @ahsuna123"
  },
  "source": "meta"
}