Evaluating LLM Coding Agents on SZ-Family Lossy Compression Across Architectures

arXiv 2606.17058•db2d3286fed35f183c82d7e74439737943f45214d41e86d7a5dad947da553f04
CUDACerebrasHPCKV-cacheLLM-code-generationNVIDIAagentic-systemscache-poisoningconcurrencydata-leakagedenial-of-servicedistributed-inferenceedge-computingkernel-optimizationlock-free-hash-tablelossy-compressionmemory-reclamationpeer-to-peerperformance-robustnessprefix-cacheprivacy-riskrelay-inferencespeculative-generationuse-after-free-risk','side-channel','TPU-topology','auto-paralleweak-consistency

Paper metadata

arXiv ID
2606.17058
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
db2d3286fed35f183c82d7e74439737943f45214d41e86d7a5dad947da553f04
Enrichment time
2026-06-17T08:52:22Z
AI-assisted enrichment
Yes

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