Agents Translate HPC Code with Half the Tokens

🔥 What happened Researchers from the Chinese Academy of Sciences unveiled an agent framework that translates parallel scientific code between CUDA, OpenMP, and SYCL. Three autonomous agents—translation, compilation diagnosis, and execution validation—coordinate via a verdict-driven orchestrator that routes failures to targeted repair skills. 💡 Why it matters The system achieves higher verified correctness than the state-of-the-art baseline across all 18 model-direction combinations while consuming up to 52.4% fewer tokens. For AI engineers, this proves that skill-specialized agent workflows beat blind retrying—and generalize across models without architectural changes. ⚡ Our take Finally, a paper that tackles the token hunger of LLM pipelines instead of just chasing benchmarks. Anyone still building sequential translation pipelines is burning money and time.