Polynomial Histograms for Memory-Efficient Representation of Long-tailed System Distributions
arXiv 2605.30360•45949607954e74599e867eaa307750ce4cb3868e4b7a5ef5060fea56a9677169
CRDTCUDA-GraphsDatalogGEMMGPU-performanceInvariant-Bit-PackingLLM-inferencebatch-1distributed-systemsenergy-efficiencyevolutionary-searchfederated-learning','personalization','gumbel-softmax','arxiv','histogramskernel-optimizationlong-tailed-distributionslossless-compressionmemory-bandwidthparallelizationperformance-ruggednessradio-networksschedulingspanning-treetelemetryvirtual-processorwireless-sensor-actuator-networks
Paper metadata
- arXiv ID
- 2605.30360
- 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
- 45949607954e74599e867eaa307750ce4cb3868e4b7a5ef5060fea56a9677169
- Enrichment time
- 2026-06-01T08:52:29Z
- AI-assisted enrichment
- Yes
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