PI & Co-PI

Dr. Chunhua Liao (PI)

Senior Computer Scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). His research focus has been on software techniques to improve the performance and correctness of parallel programs. His research interests encompass parallel languages, especially OpenMP, optimizing compilers, runtime systems, and programming tools.

Prof. Xipeng Shen (CoPI)

Professor in Computer Science at NC State University (NCSU), ACM Distinguished member, DOE & NSF Career Award receipt. Research interest focuses on Compilers and Programming Systems, High Performance Computing, and Real-Time AI.

Dr. Murali Emani (CoPI)

Assistant Computer Scientist in the Data Sciences group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory (ANL). His primary research focus lies in the intersection of systems and machine learning. Research interests include Parallel programming models, Hardware accelerators for ML/DL, High Performance Computing, Scalable Machine Learning, Runtime Systems, Performance optimization, Emerging HPC architectures, Online Adaptation.

Dr. Tristan Vanderbruggen (CoPI)

Computer Scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL). His research focus spans source-to-source transformations, C/C++ source code analysis, and machine learning applied to compiler internal representations.

Researchers

Dr. Pei-Hung Lin

Computer scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory. His research focus spans compiler optimization, parallel programming model, and domain-specific optimization.

Students & Interns

Gaurav Verma

Summer Internship at ANL (2021). Computer Science Ph.D. student at Stony Brook University, New York. His research interest lies in the intersection of systems and machine learning comprising DNN Compilers, Scalable Machine Learning, High-Performance Computing, and Edge Computing.

Sixing Yu

Summer Internship at ANL (2022). Computer Science Ph.D. student at Iowa States University, Ames, IA. His research interests is to advance state of the art in building reliable and efficient software utilizing AI/analytical methods, and help application developers to utilize the modern AI methods to develop complex software of in-demand areas.

Winson Chen

Summer Internship at LLNL (2022). Scientific Computing and Applied Mathematics Master student at University of California, Santa Cruz. His research interests are in machine learning, computer vision, and natural language processing.

Patrick Flynn

Summer Internship at LLNL (2022). Computer Science Master's Student at the University of North Carolina, Charlotte. His interests lie in high performance computing, compilers, language tools, and computer architecture.

Le Chen

Summer Internship at LLNL (2023). Computer Science Ph.D. student at Iowa States University, Ames, IA. His research interests span across high performance computing, code analysis, and the innovative application of Deep Learning methodologies and Large Language Models to augment compiler efficiency and effectiveness.

Arushi Sharma

Summer Internship at LLNL (2023). Computer Science Ph.D. student at Iowa State University, Ames, IA. Her research interests are in deep learning for software engineering and high performance computing applications, and improving the interpretability of code-trained language models.