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20202026
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cs.DC2026

GICC: A High-Performance Runtime for GPU-Initiated Communication and Coordination in Modern HPC Systems

Baodi Shan, Mauricio Araya-Polo, Barbara Chapman

Distributed GPU applications increasingly rely on kernel-level, cross-node coordination to reduce launch overheads and improve compute-communication overlap, but such support is la…

cs.DC2025

DiOMP-Offloading: Toward Portable Distributed Heterogeneous OpenMP

Baodi Shan, Mauricio Araya-Polo, Barbara Chapman

As core counts and heterogeneity rise in HPC, traditional hybrid programming models face challenges in managing distributed GPU memory and ensuring portability. This paper presents…

cs.DC2024

Towards a Scalable and Efficient PGAS-based Distributed OpenMP

Baodi Shan, Mauricio Araya-Polo, Barbara Chapman

MPI+X has been the de facto standard for distributed memory parallel programming. It is widely used primarily as an explicit two-sided communication model, which often leads to com…

cs.DC2024

Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures

Baodi Shan, Mauricio Araya-Polo

Accelerated computing is widely used in high-performance computing. Therefore, it is crucial to experiment and discover how to better utilize GPUGPUs latest generations on relevant…

cs.DC2020

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs

Baodi Shan, Aabid Shamji, Jiannan Tian +2

Error-bounded lossy compression is becoming more and more important to today's extreme-scale HPC applications because of the ever-increasing volume of data generated because it has…