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Vedant Paranjape

PROFILE

Vedant Paranjape

Worked on compiler infrastructure and tensor optimization across llvm/llvm-project and google/heir repositories, focusing on floating-point instruction combining, tensor layout permutation, and graph analysis. Used C++, LLVM IR, and MLIR to implement folding optimizations for FAdd and FSub in LLVM, ensuring correctness around sign-bit semantics and reverting unsafe changes when necessary. In google/heir, delivered robust tensor layout permutation with enhanced error handling and validation, and improved graph utilities by adding edge access, contraction, and strongly connected component analysis. Addressed SSA dominance issues in tensor operation rewrites, supporting more reliable optimization passes and maintainable workflows for tensor computations.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

8Total
Bugs
2
Commits
8
Features
4
Lines of code
819
Activity Months4

Work History

June 2026

1 Commits

Jun 1, 2026

June 2026 monthly summary for google/heir focusing on stability and correctness of tensor operation rewrites. Delivered a critical bug fix addressing SSA dominance issues in FromElementsOp emission. This enables reliable downstream optimization passes and supports growth of the FoldConstantTensors workflow.

March 2026

3 Commits • 2 Features

Mar 1, 2026

Month: 2026-03 — google/heir: Graph utilities improvements and SCC-based analysis delivered to enhance performance and enable advanced graph workflows. Key features delivered include getEdges() and contractEdge() with in-class caching for edge list construction, reducing allocation overhead; Tarjan-based strongly connected components detection via getStronglyConnectedComponents() and component condensation via condenseGraph() to produce a DAG. This work, along with API improvements and caching strategies, delivers measurable performance gains and expanded analysis capabilities.

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026 – Focused on delivering robust layout permutation capabilities in TensorExt.Layout for google/heir, with enhanced validation and broader input support. Key outcomes include arbitrary permutation mapping, improved error handling, and expanded type support (NxType inputs) with robust index validation and DenseIntElementsAttr verification. Commit-level traceability is preserved for auditability and maintainability, enabling safer, more flexible layout-driven optimizations.

September 2025

2 Commits • 1 Features

Sep 1, 2025

September 2025 performance summary: Focused FP optimization and correctness work across LLVM-based projects, with notable gains in folding opportunities and sign-bit correctness. In llvm/llvm-project, delivered a targeted FP instruction combining improvement: FAdd simplifications when the sign bit can be ignored, enabling folding of fadd x, 0 into x when the output feeds into fabs via fabs normalization, and extended this approach to FSub. Commit 092de9bb90cbcee445b31e504a4c2a09ecf09714 documents this work and rationale. In ROCm/llvm-project, reverted an incorrect FSub optimization in InstCombine, removing the optimization and its test to preserve sign-bit semantics (FSub with zero canonicalizes to FAdd with negative zero). Commit c45aa5c764ffcd1f0a4ce9f006f266d664ea6f19 (see #158315). Overall, the month delivered stronger FP folding opportunities with rigorous correctness safeguards, improving generated code quality and reducing sign-bit edge-case risk across platforms.

Activity

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Quality Metrics

Correctness91.2%
Maintainability82.6%
Architecture87.6%
Performance83.8%
AI Usage25.0%

Skills & Technologies

Programming Languages

C++LLVM IRMLIR

Technical Skills

C++C++ developmentCode ReversionCompiler DesignCompiler OptimizationError handlingFloating-Point ArithmeticInstruction CombiningLLVMMLIRTensor OperationsTensor operationsalgorithm optimizationdata structuresgraph algorithms

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

google/heir

Feb 2026 Jun 2026
3 Months active

Languages Used

C++MLIR

Technical Skills

C++C++ developmentError handlingMLIRTensor OperationsTensor operations

llvm/llvm-project

Sep 2025 Sep 2025
1 Month active

Languages Used

C++LLVM IR

Technical Skills

Compiler OptimizationFloating-Point ArithmeticInstruction Combining

ROCm/llvm-project

Sep 2025 Sep 2025
1 Month active

Languages Used

C++LLVM IR

Technical Skills

Code ReversionCompiler OptimizationLLVM