BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs
arXiv 2609.00205•a2a36fc7c27f7276a78e8874504afb13d18e3e97f880e166ecd720ffbc612134
academic-researchblockchaincachingconsensus-datastoresdistributed-systemsedge-computingetcdfair-orderingfront-runninggpu-computinghigh-performance-computingllm-inferencemoe-inferencemulti-tenancyreinforcement-learningsandwich-attacksscientific-data-compressionzookeeper
Paper metadata
- arXiv ID
- 2609.00205
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- a2a36fc7c27f7276a78e8874504afb13d18e3e97f880e166ecd720ffbc612134
- Enrichment time
- 2026-09-02T08:52:13Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.