ShardTensor: Domain Parallelism for Scientific Machine Learning
arXiv 2605.11111•f08d2600b0319cc42e2e8c7f4d8c9249cd927352dcd777c09d3210951c0312e7
Byzantine consensusChakraChunkFlowDeFiDeFiPyGNN trainingGriNNderLLM pre-trainingMLCommonsNVMePCIe contentionReCoVerShardTensorState Twincollective communicationsdiffusion transformersdomain parallelismexecution tracefault tolerancelayerwise offloadingmessage authenticationoff-chain simulationscientific machine learningstorage offloadingvector search on-SSD
Paper metadata
- arXiv ID
- 2605.11111
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- f08d2600b0319cc42e2e8c7f4d8c9249cd927352dcd777c09d3210951c0312e7
- Enrichment time
- 2026-05-13T08:52:25Z
- AI-assisted enrichment
- Yes
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