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cs.DC2026
LLM-HPC++: Evaluating LLM-Generated Modern C++ and MPI+OpenMP Codes for Scalable Mandelbrot Set Computation
Patrick Diehl, Noujoud Nader, Deepti Gupta
Parallel programming remains one of the most challenging aspects of High-Performance Computing (HPC), requiring deep knowledge of synchronization, communication, and memory models.…
cs.DC2025
LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
Noujoud Nader, Patrick Diehl, Steve Brandt +1
Large Language Models (LLMs), such as GPT-4 and DeepSeek, have been applied to a wide range of domains in software engineering. However, their potential in the context of High-Perf…
cs.DC2025
Closing a Source Complexity Gap between Chapel and HPX
Shreyas Atre, Chris Taylor, Patrick Diehl +1
A previous case study measured performance vs source-code complexity across multiple languages. The case study identified Chapel and HPX provide similar performance and code comple…