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Roadmap for the Venom Intermediate Representation Language
Overview
The "Venom" intermediate representation (IR) language is an initiative to enhance the compilation process of the Vyper compiler. The goal is to transition from the existing s-expression based IR to a more efficient, flexible and optimized Venom IR.
Current Status
Currently, "Venom" is being developed as a new form of IR that translates from the existing s-expression based IR. This approach allows for incremental refinement and integration into the existing compilation pipeline.
Proposed Roadmap
Phase 1: Venom IR Development
Develop the initial structure and capabilities of Venom IR by translating from the existing s-expression based IR.
Key Tasks:
Define Venom's data structures and operations.
Implement utility data structures and algorithms, like dominator trees, dominance frontier calculation, etc
Implement translation mechanisms from s-expression IR to Venom IR.
Pass the complete compiler test suite
Phase 2: Implement Basic Optimizations
Apply Data Flow Optimizations in order to accommodate for better stack management and variable usage
Key Tasks:
Utilize Static Single Assignment (SSA) form in Venom to optimize data flow and variable usage.
Optimize stack scheduling
Introduce basic optimizations to the new Venom IR to demonstrate immediate benefits.
Key Tasks:
Apply dead code elimination and constant folding within Venom IR.
Optimize function calling convention
Start replacing segments of s-expression IR with Venom in less critical paths to test and refine the new IR.
Phase 3: Advanced Optimizations and Transition
Control Flow Optimizations
Key Tasks:
Implement loop unrolling and strength reduction directly in Venom.
Enhance branch prediction strategies within the new IR framework.
Gradually phase out s-expression IR, replacing it with Venom IR in all compiler processes.
Key Tasks:
Incrementally replace all instances of s-expression IR with Venom.
Validate and ensure the stability and performance of Venom across the compiler.
Phase 4: Performance Testing and Benchmarking
Thoroughly benchmark Venom IR to measure and optimize its performance.
Key Tasks:
Establish benchmarks specifically designed for Venom's optimizations.
Continuously refine Venom based on real-world data and performance feedback.
Phase 5: Full Integration and Decommission of s-expression IR
Fully replace the s-expression IR with Venom and enable direct AST to Venom compilation.
Key Tasks:
Finalize the translation logic for direct AST to Venom generation.
Ensure comprehensive compatibility and remove all dependencies on the old IR.
Contributing
We welcome contributors to participate at all stages, particularly in the areas of optimization development and testing. Please refer to the project's GitHub repository for detailed contribution guidelines.
The text was updated successfully, but these errors were encountered:
harkal
changed the title
Roadmap for the **Venom** Immediate Representation Language
Roadmap for the Venom Intermediate Representation Language
Apr 29, 2024
charles-cooper
changed the title
Roadmap for the Venom Intermediate Representation Language
Venom IR roadmap
Apr 29, 2024
we should get the venom optimizer to feature parity with the IRnode optimizer, so we can disable the IRnode optimizer without any performance regressions
Roadmap for the Venom Intermediate Representation Language
Overview
The "Venom" intermediate representation (IR) language is an initiative to enhance the compilation process of the Vyper compiler. The goal is to transition from the existing s-expression based IR to a more efficient, flexible and optimized Venom IR.
Current Status
Currently, "Venom" is being developed as a new form of IR that translates from the existing s-expression based IR. This approach allows for incremental refinement and integration into the existing compilation pipeline.
Proposed Roadmap
Phase 1: Venom IR Development
Phase 2: Implement Basic Optimizations
Phase 3: Advanced Optimizations and Transition
Phase 4: Performance Testing and Benchmarking
Phase 5: Full Integration and Decommission of s-expression IR
Contributing
We welcome contributors to participate at all stages, particularly in the areas of optimization development and testing. Please refer to the project's GitHub repository for detailed contribution guidelines.
The text was updated successfully, but these errors were encountered: