Xinyao Yi

Country: NA

Education: Unknown

Affiliation: UNC Charlotte

Domain of Research: Artificial Intelligence,Software Engineering and Quality,Artificial Intelligence,Big Data,Cloud Computing,Parallel and Distributed Computing,Parallel Computing

Biography: My research centers around high-performance computing, with a specific focus on performance optimization and analysis within the realms of computer architecture and compilers. I've engaged in a variety of projects that highlight the breadth of my research experience. From my recent venture into Code Optimization Using DL/ML Methods, where I tackled the constraints of conventional compilers and implemented a pre-trained GPT-2 model for code optimization, to my contributions to projects such as NeoRodinia, CUDAMicroBench, and OpenMP Implementation in REX Compiler, I consistently demonstrate a profound understanding of parallel programming models, performance analysis, and memory system optimization. Noteworthy contributions to Ompparser and Source-to-Source Compiler Loop Transformation underscore my dedication to advancing tools and techniques for efficient code development. Moreover, my earlier participation in projects like the CAS Earth Big Data Science Project and GPU Parallel Computing for Real-time Medical Photoacoustic Imaging Reconstruction illustrates the application of computational solutions to real-world challenges. This emphasizes my expertise in parallel acceleration strategies and GPU computing across diverse applications.