Fuzzing MLIR Compilers with Custom Mutation Synthesis

Compiler technologies in deep learning and domain-specific hardware acceleration are increasingly adopting extensible compiler frameworks such as Multi-Level Intermediate Representation (MLIR) to facilitate more efficient development. With MLIR, compiler developers can easily define their own custom...

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Bibliographic Details
Published in:	Proceedings / International Conference on Software Engineering pp. 217 - 229
Main Authors:	Limpanukorn, Ben, Wang, Jiyuan, Kang, Hong Jin, Zhou, Zitong, Kim, Miryung
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.04.2025
Subjects:	code patterns Codes compiler testing Fuzzing Generators Grammar-based fuzzing Hardware acceleration MLIR Program processors program synthesis program transformation Shape Software engineering Tensors Testing Writing
ISSN:	1558-1225
Online Access:	Get full text
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