Hardware-accelerated Aggregation: Unification and Specialization
arXiv 2606.10030•564442470f90e4be70a8c2be7b019a2e32348e4d905a3627fcd30cb6db829feb
ASTRA-simCPU-GPU-hybridCRDTsFP8FPGAGPUINT4ITDInfraGraphIntel-XeonLLM-trainingMixture-of-ExpertsRATrainaggregationbandwidth-constrainedcollective-communicationsdata-center-efficiencydistributed-MLhardware-accelerationheterogeneous-hardwarelocal-inferencememory-hierarchysimulatorsustainable-opsthermal-optimization
Paper metadata
- arXiv ID
- 2606.10030
- 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
- 564442470f90e4be70a8c2be7b019a2e32348e4d905a3627fcd30cb6db829feb
- Enrichment time
- 2026-06-10T08:52:18Z
- AI-assisted enrichment
- Yes
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