Row 41583

Row ID: 41583 | Dataset Entry | Axioma AXP Content Repository

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This is a good list. Just want to add on to the inference side since OP explicitly stated they were interested in this.

Distributed *inference* doesn’t seem to be a very popular academic endeavor.

There’s this and the related section just references distributed training. https://arxiv.org/abs/2311.03703

There’s also this: https://dl.acm.org/doi/10.1145/3470567, which has a better reference trail.

I guess tensor sharding can be considered distributed inference too.

But in comparison to distributed training, you’re probably not going to find as much. These two papers are probably good places to start looking other papers and groups for inference distribution.

If you’re really excited about a particular school or PI, you can always ask if they’re taking students and if they’d be interested in branching out to your specific interest if it’s not too far of a stretch (e.g. someone who’s done distributed training research before might be interested).

FieldValue
text This is a good list. Just want to add on to the inference side since OP explicitly stated they were interested in this. Distributed *inference* doesn’t seem to be a very popular academic endeavor. There’s this and the related section just references distributed training. https://arxiv.org/abs/2311.03703 There’s also this: https://dl.acm.org/doi/10.1145/3470567, which has a better reference trail. I guess tensor sharding can be considered distributed inference too. But in comparison to distr…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-22
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Raw Record

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  "text": "This is a good list. Just want to add on to the inference side since OP explicitly stated they were interested in this.\n\nDistributed *inference* doesn’t seem to be a very popular academic endeavor.\n\nThere’s this and the related section just references distributed training.\nhttps://arxiv.org/abs/2311.03703\n\nThere’s also this: https://dl.acm.org/doi/10.1145/3470567, which has a better reference trail.\n\nI guess tensor sharding can be considered distributed inference too.\n\nBut in comparison to distributed training, you’re probably not going to find as much. These two papers are probably good places to start looking  other papers and groups for inference distribution.\n\nIf you’re really excited about a particular school or PI, you can always ask if they’re taking students and if they’d be interested in branching out to your specific interest if it’s not too far of a stretch (e.g. someone who’s done distributed training research before might be interested).",
  "label": "r/machinelearning",
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  "datetime": "2024-05-22",
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