LLM-Vectorizer: LLM-based Verified Loop Vectorizer

no code implementations • 7 Jun 2024 • Jubi Taneja, Avery Laird, Cong Yan, Madan Musuvathi, Shuvendu K. Lahiri

Our findings indicate that LLMs are capable of producing high performance vectorized code with run-time speedup ranging from 1. 1x to 9. 4x as compared to the state-of-the-art compilers such as Intel Compiler, GCC, and Clang.

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

1 code implementation • 27 Jul 2023 • Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri

Relational tables, where each row corresponds to an entity and each column corresponds to an attribute, have been the standard for tables in relational databases.

Attribute

Execution-based Evaluation for Data Science Code Generation Models

1 code implementation • 17 Nov 2022 • JunJie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao

Code generation models can benefit data scientists' productivity by automatically generating code from context and text descriptions.

Code Generation Model Selection