AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference
2026-06-09T08:52:01Z•89e21b4c447188f84c4ec6fa4aa8ebcc293f2b5911f80c42c534324074cb3ebe
C11CUDAGLRLLM-guidedMLIRROSROSLaunchVisualRTLSNNTVMauto-schedulercode-generationcompilerconcurrencyconfiguration-managementembeddedformal-verificationhardware-accelerationinferenceneuromorphicparsingperformance-optimizationquantizationrelease-acquiretensor-programs
What happened
This is an arXiv feed of recent programming-languages / compiler / systems research papers (June 9, 2026) covering: AgentCompile — an LLM-guided CUDA inference compiler that uses LLMs as advisory metadata to pick and empirically validate CUDA templates (reports multi-fold inference speedups; will be open-sourced); SNN-MLIR — an out-of-tree MLIR dialect and NIR→MLIR→C toolchain for spiking neural networks that emits dependency-free C11 for CPUs/embedded targets (Apache-2.0); LongRTL — an LLM+graph-similarity framework for long-context RTL decomposition, optimization, and reconstruction; a world
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- 89e21b4c447188f84c4ec6fa4aa8ebcc293f2b5911f80c42c534324074cb3ebe
- Enrichment time
- 2026-06-09T08:52:01Z
- AI-assisted enrichment
- Yes
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