JITScope: Interactive Visualization of JIT Compiler IR Transformations
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866913862157074432 |
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| author | Dalbo, Kyra Ahmed, Yumna Lim, HeuiChan |
| author_facet | Dalbo, Kyra Ahmed, Yumna Lim, HeuiChan |
| contents | The complexity of modern Just-In-Time (JIT) compiler optimization poses significant challenges for developers seeking to understand and debug intermediate representation (IR) behavior. This work introduces JITScope, an interactive visualization framework that illustrates how IR nodes and instructions evolve across compilation phases. The system features a full-stack architecture: a Python-based backend transforms raw JSON-formatted IR data-representing an abstract model of the JIT compiler IR-into a normalized SQLite database; a controller layer serves processed CSV data; and a D3.js-powered frontend renders an interactive, phase-aware graph of IR node transformations. The design emphasizes modularity, traceability, and flexibility. Our roadmap explores intuitive visual representations of phase-level changes in IR node connectivity, values, and access patterns. Ultimately, JITScope lays a foundation for future tooling that enables visual exploration of IR evolution, including phase filtering, value tracking, and function-access mapping-offering a new lens into the behaviors and impacts of compiler optimizations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_21599 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | JITScope: Interactive Visualization of JIT Compiler IR Transformations Dalbo, Kyra Ahmed, Yumna Lim, HeuiChan Software Engineering D.3.4; D.2.2; I.3.8 The complexity of modern Just-In-Time (JIT) compiler optimization poses significant challenges for developers seeking to understand and debug intermediate representation (IR) behavior. This work introduces JITScope, an interactive visualization framework that illustrates how IR nodes and instructions evolve across compilation phases. The system features a full-stack architecture: a Python-based backend transforms raw JSON-formatted IR data-representing an abstract model of the JIT compiler IR-into a normalized SQLite database; a controller layer serves processed CSV data; and a D3.js-powered frontend renders an interactive, phase-aware graph of IR node transformations. The design emphasizes modularity, traceability, and flexibility. Our roadmap explores intuitive visual representations of phase-level changes in IR node connectivity, values, and access patterns. Ultimately, JITScope lays a foundation for future tooling that enables visual exploration of IR evolution, including phase filtering, value tracking, and function-access mapping-offering a new lens into the behaviors and impacts of compiler optimizations. |
| title | JITScope: Interactive Visualization of JIT Compiler IR Transformations |
| topic | Software Engineering D.3.4; D.2.2; I.3.8 |
| url | https://arxiv.org/abs/2505.21599 |