What You Need to Know Before
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Starts 6 June 2025 12:09
Ends 6 June 2025
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48 minutes
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Overview
Explore how language models and program synthesis can be combined to automatically lift code to domain-specific languages, enabling efficient code generation for heterogeneous hardware.
Syllabus
- Introduction to Language Models and Program Synthesis
- Basics of Domain-Specific Languages (DSLs)
- Language Models for Code Generation
- Program Synthesis Techniques
- Integration of Language Models and Program Synthesis
- Lifting Code to Domain-Specific Languages
- Practical Applications and Case Studies
- Hands-on Project
- Future Directions in Language Model Guided Synthesis
- Review and Course Conclusion
Overview of Language Models in AI
Fundamentals of Program Synthesis
Applications in Code Generation
Understanding DSLs: Definitions and Characteristics
Benefits of Using DSLs in Code Generation
Examples of Popular DSLs
Historical Context and Evolution
State-of-the-Art Language Models
Case Studies of Language Models in Code Generation
Syntax-Guided Synthesis
Inductive Program Synthesis
Machine Learning Approaches to Synthesis
Synergies between Language Models and Synthesis
Frameworks and Tools for Integration
Challenges in Integrating Language Models with Synthesis
Techniques for Code Lifting
Automation of DSL Code Generation
Optimizing for Heterogeneous Hardware
Real-world Examples of Code Lifting
Industry Adoption and Use Cases
Comparative Analysis of DSLs in Different Domains
Selecting a Domain-Specific Language
Applying Language Model Guided Synthesis
Evaluating Performance on Heterogeneous Hardware
Trends and Emerging Research
Opportunities for Innovation in This Field
Long-term Impact on Software Development
Recap of Key Concepts
Discussion on Potential Advances
Feedback and Course Evaluation
Subjects
Computer Science