GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
IEEE

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Abstract: The advent of large language models (LLMs) has revolutionized the field of code translation, enabling automated translation between programming languages. Despite these advancements, the ...
The New York Times

The Best Language Learning Apps

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Justin Pot Our upgrade pick, Babbel, has discontinued its premium Live service ...
GitHub

CGBridge: Bridging Code Graphs and Large Language Models for Better Structure-Aware Code Understanding

CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
IEEE

Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs

Abstract: Java offers the Java Native Interface (JNI), which allows programs running in the Java Virtual Machine to invoke and be manipulated by native applications and libraries written in other ...