arXiv (All)
open access
CompileRover: Revolutionizing Virtual Machine Compiler Optimization with a Tri-Role LLM-Driven Framework
Code optimization plays a crucial role in the development of virtual machine compilers, with optimization frameworks significantly enhancing the performance of generated assembly code. However, existing virtual machine compiler outputs frequently exhibit redundant computations, inefficient loop stru
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization#1084756
- Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization#919495
- HighTide: An Agent-Curated Open-Source VLSI Benchmark Suite#259576
- HyMCache: A KV Cache Framework for Multi-Turn LLM Serving with CXL-Hybrid Memory#386827
- SparseDitto: An Agentic Sparse Compilation Framework through Architecture-Aware Synthesis on GPUs#998320
Record · ID 1013159
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive