A Density-Delay Law for Stable Event-Driven State Progression in Open Distributed Systems

2026-03-31T08:52:27Zd0b92736f75dfe4e917d63d6a1ac0756039b74b377592dfb6bffd545da76d515
Apple-SiliconCarbonEdgeFFTGPU-accelerationGPU-metricsHPCOpenFOAMTX-Digital-Twinbitcoin-difficultycarbon-awareconsensuscritical-pointsdensity-delay-lawdistributed-systemsedge-computingevent-driven-systemsinference-frameworkslossy-compressionmetal-shading-languageperformance-benchmarking','HBM','jaxsgp4','SGP4','space-situ-awascalabilitysupercomputingsustainabilitytopology-preserving-compressionvisualization

What happened

This feed contains multiple systems and applied-CS research results with emphasis on scalability, performance, and correctness across distributed systems, HPC, edge AI, storage/compression, and space-domain tooling. Key contributions include: (1) a density–delay law for event-driven exclusive state progression showing an inverse per-node proposal-rate scaling g(N)=O(1/N) under bounded propagation delay (with implications for difficulty-adjustment-style rate control); (2) a high-speed Local-Order-Preserving lossy compressor that preserves full local order and all critical points while running ⪢

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_dc
Record identifier
d0b92736f75dfe4e917d63d6a1ac0756039b74b377592dfb6bffd545da76d515
Enrichment time
2026-03-31T08:52:27Z
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.