This study examines how Large Language Models can perform in the demanding field of High-Performance Computing by evaluating DeepSeek's ability to generate complex parallel computing code.

• DeepSeek was tested on generating five HPC benchmark codes including conjugate gradient solvers, parallel heat equations, and matrix multiplication
• Researchers evaluated both the correctness of the generated code and its performance characteristics
• The work bridges the gap between AI language models and technical computing requirements in engineering applications

This research matters for engineering teams developing computational solutions, showing how AI can potentially accelerate development of performance-critical code while identifying current limitations.

LLM & HPC: Benchmarking DeepSeek's Performance in High-Performance Computing Tasks