EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed- and GPU-Parallel Lossy Compression
arXiv 2604.01397•0580701967b95cee778e1ffb62f8782020263e31dd8acafa31cab90561a14a23
DCGMGPU accelerationHPCLLM inferenceLLM-driven protocol synthesisSlurmWebAssemblyanonymous networkscloud orchestrationdata integritydeanonymizationdistributed systemsdynamic code generationlossy compressionmodel parallelismmodel translationquantum computingremote-weight fetchingresource predictionscientific dataside-channel risksimulator interoperabilitysupply-chain risktelemetrytopology preservation
Paper metadata
- arXiv ID
- 2604.01397
- 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
- 0580701967b95cee778e1ffb62f8782020263e31dd8acafa31cab90561a14a23
- Enrichment time
- 2026-04-03T08:52:26Z
- AI-assisted enrichment
- Yes
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