arXiv (All)
open access
Detecting Soft Errors in Parallel Software with LLM-tuned Instruction Duplication
We propose PaRID (PaRallel Instruction Duplication), a software-directed soft error detection framework that requires only compile-time effort for multithreading parallel programs. PaRID addresses two key challenges: supporting parallel programs with mixed serial and parallel regions and minimizing
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
- Detecting Soft Errors in Parallel Software with LLM-tuned Instruction Duplication#978400
- ParityFuzz: Finding Inconsistencies across Solidity Compilers via Fine-Grained Mutation and Differential Analysis#175346
- SieveIVF: Threshold-Aware IVF Execution for Large-Scale Training Data Deduplication#429468
- Prism: A Plug-in Reproducible Infrastructure for Scalable Multimodal Continual Instruction Tuning#224494
- Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs#158578
Record · ID 1014124
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