Incidence Constraints in Hypergraph Partitioning on GPU
2026-04-17T08:52:21Z•0f3d7c95a765e668c9e883b604a16bd9db68caf24737f8f9738bccd607e81249
AgileLogBloom filtersGPU communicationKVCacheLLM servingNUMA mappingRDMA vs Ethernetagentic workflowsagentic writesbandwidth-aware schedulingcircuit cuttingcloud schedulingcross-datacenterdistributed inferenceforkable logsfuzzy extractorhomomorphic encryptionmulti-NUMA VMsperformance isolationprivacy-preserving biometricsquantum HPCreidentification riskresilience surveyresource schedulingshared log
What happened
This collection of recent systems papers covers distributed ML/LLM serving, agentic streaming systems, privacy-preserving biometrics, resource scheduling for large-model inference, multi-NUMA VM packing, and HPC–quantum integration. Security-relevant points: (1) Prefill-as-a-Service (PrfaaS) and other cross-cluster KVCache transports expand the attack surface (interception, tampering, replay, congestion/DoS, side-channels) when moving KV state across datacenters and heterogeneous fabrics; strong encryption, integrity protection, and bandwidth-aware controls are required. (2) CoCoDiff, Scepsy,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 0f3d7c95a765e668c9e883b604a16bd9db68caf24737f8f9738bccd607e81249
- Enrichment time
- 2026-04-17T08:52:21Z
- AI-assisted enrichment
- Yes
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