Programming Languages · Computer Science
ACPO: AI-Enabled Compiler Framework
Amir H. Ashouri, Muhammad Asif Manzoor, Duc Minh Vu, Raymond Zhang +6
2025-01-15
Programming Languages · Computer Science
LOOPRAG: Enhancing Loop Transformation Optimization with Retrieval-Augmented Large Language Models
Yijie Zhi, Yayu Cao, Jianhua Dai, Xiaoyang Han +4
2025-12-19
Neural and Evolutionary Computing · Computer Science
Optimizing LLVM Pass Sequences with Shackleton: A Linear Genetic Programming Framework
Hannah Peeler, Shuyue Stella Li, Andrew N. Sloss, Kenneth N. Reid +2
2022-02-01
Programming Languages · Computer Science
MLGO: a Machine Learning Guided Compiler Optimizations Framework
Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin +2
2021-01-14
Programming Languages · Computer Science
On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU
Ulysse Beaugnon, Basile Clément, Nicolas Tollenaere, Albert Cohen
2019-04-09
Neural and Evolutionary Computing · Computer Science
Autonomous Multi-Objective Optimization Using Large Language Model
Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu +2
2024-07-29
Programming Languages · Computer Science
Equality Saturation: A New Approach to Optimization
Ross Tate, Michael Stepp, Zachary Tatlock, Sorin Lerner
2015-07-01
Software Engineering · Computer Science
A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning
Haolin Pan, Hongbin Zhang, Mingjie Xing, Yanjun Wu
2025-10-17
Programming Languages · Computer Science
Finding representative sets of optimizations for adaptive multiversioning applications
Lianjie Luo, Yang Chen, Chengyong Wu, Shun Long +1
2014-07-16
Software Engineering · Computer Science
Synergy-Guided Compiler Auto-Tuning of Nested LLVM Pass Pipelines
Haolin Pan, Jinyuan Dong, Mingjie Xing, Yanjun Wu
2025-10-16
Machine Learning · Computer Science
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models
Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko +5
2024-10-16
Software Engineering · Computer Science
VecTrans: Enhancing Compiler Auto-Vectorization through LLM-Assisted Code Transformations
Zhongchun Zheng, Kan Wu, Long Cheng, Lu Li +6
2025-06-05
Performance · Computer Science
A framework to experiment optimizations for real-time and embedded software
Hugues Cassé, Karine Heydemann, Haluk Ozaktas, Jonathan Ponroy +2
2010-11-30
Neural and Evolutionary Computing · Computer Science
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
Valentin Khrulkov, Andrey Galichin, Denis Bashkirov, Dmitry Vinichenko +4
2025-11-25
Distributed, Parallel, and Cluster Computing · Computer Science
Autotuning Search Space for Loop Transformations
Michael Kruse, Hal Finkel, Xingfu Wu
2020-10-14
Distributed, Parallel, and Cluster Computing · Computer Science
Invited Paper: Initial Steps Toward a Compiler for Distributed Programs
Joseph M. Hellerstein, Shadaj Laddad, Mae Milano, Conor Power +1
2023-05-25
Machine Learning · Statistics
From Optimization Dynamics to Generalization Bounds via {\L}ojasiewicz Gradient Inequality
Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li
2022-10-13
Computation and Language · Computer Science
Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
Xinyuan Wang, Kunpeng Liu, Arun Vignesh Malarkkan, Yanjie Fu
2026-03-12
Artificial Intelligence · Computer Science
From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework
Yunkai Hu, Tianqiao Zhao, Meng Yue
2025-08-12
Software Engineering · Computer Science
Compiler Optimization Testing Based on Optimization-Guided Equivalence Transformations
Jingwen Wu, Jiajing Zheng, Zhenyu Yang, Zhongxing Yu
2025-04-08