RECURSUM: Automated Code Generation for Recurrence Relations Exceeds Expert Optimization via LayeredCodegen
arXiv 2604.18585•b67d8775b547b9794261d1d2c786a6cb1683ad881b2413af9b884d30662748f7
GPU-optimizationGPU-transpilationLLM-assisted-developmentLLVMSMTabstract-interpretationbinary-analysiscode-generationcompiler-metadatacyber-physical-systemsdisassemblyformal-verificationinstrumentationmemory-safetyperformance-optimizationprogram-verificationresource-safetyreverse-engineeringtemplate-metaprogrammingverified-compilation
Paper metadata
- arXiv ID
- 2604.18585
- Version
- Not specified by this published record
- Category
- Computer Science — Programming Languages (cs.PL)
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Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- b67d8775b547b9794261d1d2c786a6cb1683ad881b2413af9b884d30662748f7
- Enrichment time
- 2026-04-22T08:52:02Z
- AI-assisted enrichment
- Yes
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