{"total":24,"rows":[{"id":"2502.10517","title":"KernelBench: Can LLMs Write Efficient GPU Kernels?","created":"2025-02-14","cited_by_count":225,"area":null},{"id":"2401.12554","title":"Can Large Language Models Write Parallel Code?","created":"2024-01-23","cited_by_count":36,"area":null},{"id":"2402.02018","title":"The Landscape and Challenges of HPC Research and LLMs","created":"2024-02-03","cited_by_count":22,"area":null},{"id":"2404.18864","title":"Performance-Aligned LLMs for Generating Fast Code","created":"2024-04-29","cited_by_count":21,"area":null},{"id":"2401.16445","title":"OMPGPT: A Generative Pre-trained Transformer Model for OpenMP","created":"2024-01-28","cited_by_count":16,"area":null},{"id":"2310.04963","title":"LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation","created":"2023-10-08","cited_by_count":15,"area":null},{"id":"2603.12440","title":"KernelFoundry: Hardware-aware evolutionary GPU kernel optimization","created":"2026-03-12","cited_by_count":13,"area":null},{"id":"2406.14191","title":"Temporal Knowledge Graph Question Answering: A Survey","created":"2024-06-20","cited_by_count":9,"area":null},{"id":"2504.03665","title":"LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks","created":"2025-03-15","cited_by_count":8,"area":null},{"id":"2402.09126","title":"MPIrigen: MPI Code Generation through Domain-Specific Language Models","created":"2024-02-14","cited_by_count":5,"area":null},{"id":"2409.14771","title":"OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation","created":"2024-09-23","cited_by_count":5,"area":null},{"id":"2505.08135","title":"Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions","created":"2025-05-13","cited_by_count":2,"area":null},{"id":"2406.12146","title":"Should AI Optimize Your Code? A Comparative Study of Classical Optimizing Compilers Versus Current Large Language Models","created":"2024-06-17","cited_by_count":1,"area":null},{"id":"2502.13349","title":"Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments","created":"2025-02-19","cited_by_count":1,"area":null},{"id":"2506.20608","title":"AI Assistants to Enhance and Exploit the PETSc Knowledge Base","created":"2025-06-25","cited_by_count":1,"area":null},{"id":"2507.04697","title":"Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation","created":"2025-07-07","cited_by_count":1,"area":null},{"id":"2608.26110","title":"Exploring the Role of LLMs in HPC Programming: A Survey","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2404.15681","title":"Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2509.16212","title":"EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2601.04327","title":"ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2602.22240","title":"From Prompts to Performance: Evaluating LLMs for Task-based Parallel Code Generation","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.27423","title":"AstraAI: LLMs, Retrieval, and AST-Guided Assistance for HPC Codebases","created":"2026-03-28","cited_by_count":0,"area":null},{"id":"2606.04023","title":"CodegenBench: Can LLMs Write Efficient Code Across Architectures?","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2608.08085","title":"Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations","created":"2026-08-08","cited_by_count":0,"area":null}],"next_cursor":null}