Axon: A Synthesizing Superoptimizer for Tensor Programs
2026-06-26T08:52:02Z•ef8e068be6080ab88fe878c18527fd7c4ee41fff1cdb731482713f60ac1c78af
AI acceleratorsLLMsLeanPCMReRAMRustSMTVeriFastapproximate computingcompilerformal methodsheap buffer overflowhyperdimensional computinginstruction selectionmemory safetyprivacyprogram synthesispurpose-aware programmingseparation logic benchmarksuperoptimizertensor programstheorem provingtilingtypestateuse-after-free
What happened
Collection of recent programming-languages and systems papers (arXiv, 2026-06-26) covering program synthesis and superoptimization for tensor/accelerator kernels (Axon uses SMT over unbounded tensors and empirical kernel search), a typestate system for purpose-aware data usage (PurPL), compiler-driven approximation for hyperdimensional computing (ApproxHDC), mostly-automatic translation of C interpreters to safe Rust that eliminates memory vulnerabilities (Reboot), a core formal model of Go with generics and runtime typing (Welterweight Go), surveys and benchmarks for quantum and auto-formal
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_pl
- Record identifier
- ef8e068be6080ab88fe878c18527fd7c4ee41fff1cdb731482713f60ac1c78af
- Enrichment time
- 2026-06-26T08:52:02Z
- AI-assisted enrichment
- Yes
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