TL;DR
Jank has created a new custom intermediate representation (IR) designed specifically for its language semantics. This IR aims to improve optimization and performance, moving beyond reliance on LLVM IR. The development is a major milestone in Jank’s compiler evolution, though details about stability and adoption are still emerging.
Jank has developed and implemented a new custom intermediate representation (IR) tailored specifically to its language semantics, aiming to optimize its compiler’s performance and capabilities. This marks a significant shift from its previous reliance on LLVM IR, which was limited by its low-level abstraction. The move is designed to enable more effective optimizations aligned with Jank’s unique features, such as its dynamism and data structures.
The new IR is stored in memory as C++ data structures but can be rendered into Clojure data for debugging and testing purposes. Unlike LLVM IR, which operates at a low level and lacks understanding of Clojure-specific constructs, Jank’s IR is high-level and designed to reflect the language’s semantics directly. This enables more targeted optimizations, potentially improving runtime performance and compilation efficiency.
Jank’s creator explained that the IR is SSA-based (single static assignment) and organized as a control flow graph (CFG), with each basic block ending in a single terminating instruction such as a branch or return. This structure facilitates various compiler optimizations and makes reasoning about the code more straightforward. The IR includes handling of vars, constants, and instructions that mirror Clojure features like lazy sequences and persistent data structures.
Why It Matters
This development matters because it represents a strategic move toward making Jank’s compiler more efficient and capable of advanced optimizations that are language-aware. By creating a high-level IR tailored to Clojure’s semantics, Jank aims to compete more effectively with JVM-based implementations and improve runtime performance, which could influence the language’s adoption and ecosystem growth.
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Background
Previously, Jank relied heavily on LLVM IR for optimization, which is low-level and not well-suited for Clojure’s dynamic features. Over the past two months, the project’s developer sought to create an IR that operates at a higher level, directly representing Jank’s language constructs. This move aligns with efforts in compiler design to optimize at the language-specific level rather than relying solely on general-purpose IRs like LLVM IR.
This is a notable shift for Jank, as no other Clojure dialects are known to have taken similar steps toward a custom high-level IR. The development is still in early stages, and the IR’s stability and full integration into the compiler pipeline remain under testing.
“I wanted an IR which operated at the level of Clojure’s semantics. This would be much higher level than LLVM IR and even much higher level than JVM’s bytecode.”
— Jank’s creator
“The IR is SSA-based and organized as a control flow graph, which makes optimizations and reasoning about the code more straightforward.”
— Jank’s developer
LLVM Code Generation: A deep dive into compiler backend development
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What Remains Unclear
It is not yet clear how stable or mature the new IR will become or how quickly it will be integrated into the full Jank compiler pipeline. Details about performance improvements and compatibility are still emerging, and the project’s future roadmap remains to be clarified.
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What’s Next
The next steps involve rigorous testing and optimization of the IR, followed by integration into the main compiler. The developer plans to refine the IR’s features and stability, with potential performance benchmarks to assess its impact. Community feedback and further development will shape its evolution.
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Key Questions
Why did Jank create its own IR instead of continuing with LLVM IR?
Because LLVM IR operates at a low level and doesn’t capture Clojure’s high-level features, creating a custom IR allows for language-specific optimizations and better performance improvements.
What benefits does a high-level IR provide for Jank?
A high-level IR enables more targeted optimizations, easier reasoning about code, and potentially faster compilation times, all tailored to Jank’s semantics.
Is the new IR stable and ready for production use?
Not yet. The IR is still in early development, with ongoing testing and refinement before it can be considered stable or ready for widespread deployment.
How might this impact Jank’s performance?
If successful, the new IR could significantly improve runtime performance and compilation efficiency, making Jank more competitive with JVM-based solutions.
