MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks
Results and benchmarks
MonoCoder: Domain-Specific Code Language Model for HPC Codes and Tasks presents a language model approach for computer science.
Benchmark evidence is limited
Evidence graph: 2 refs, 1 links.
Utility signals: depth 65/100, grounding 58/100, status medium.
Implementation
No direct implementation yet
Maintained implementation evidence is not confirmed for this paper yet.
Use the implementation status and reproduction sections for the current action plan.
No verified maintained repo yet
There is no verified maintained implementation yet. Use this baseline plan to decide whether to prototype now or defer.
- No direct maintained implementation was found. Use the paper PDF and citation graph to design a baseline reproduction.
- Start from related paper: Scope is all you need: Transforming LLMs for HPC Code.
- Start from this likely method family: domain-specific language models.
Time to first repro: a few days
Recommendation evidence is currently too limited for a maintained-repo choice. Use Implementation Status and Reproduction Path for a practical baseline plan.
- Estimate is based on paper-only reproduction flow
Reproduction readiness
No repo
No verified implementation available
- No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.
Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Validation caveat
Hugging Face artifacts
No trustworthy direct or curated related Hugging Face artifacts were found yet. Use targeted searches to quickly locate candidate models, datasets, and demos.
Datasets
Tip: start with models, then check datasets and spaces if you need evaluation data or demos.
Research context
4
Citations
14
References
Tasks
Computer science, Programming language, Domain-specific language, Code (set theory), Domain (mathematical analysis), Parallel computing, high-performance computing, code generation
Methods
Language model, domain-specific language models, model size reduction
Domains
Natural language processing
Related papers
- Scope is all you need: Transforming LLMs for HPC CodeSearch on Paper2Code
2023 · Semantic similarity
- HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel LanguagesSearch on Paper2Code
2025 · Semantic similarity
- HPC-Coder: Modeling Parallel Programs using Large Language ModelsSearch on Paper2Code
2024 · Semantic similarity
- MARCO: Multi-Agent Code Optimization with Real-Time Knowledge Integration for High-Performance ComputingSearch on Paper2Code
2025 · Semantic similarity
- Do Large Language Models Understand Performance Optimization?Search on Paper2Code
2025 · Semantic similarity
- Comprehensive Evaluation of LLMs in HPC Code Performance OptimizationSearch on Paper2Code
2025 · Semantic similarity
Open this paper in HFEPX to review benchmark signals, evaluation modes, and human-feedback protocol context.
Open in HFEPXJump to Paper2Code search queries derived from this paper's research context.