Accelerating 3-D GPU-based Motion Tracking for Ultrasound Strain Elastography Using Sum-Tables: Analysis and Initial Results

swHPFM: Refactoring and Optimizing the Structured Grid Fluid Mechanical Algorithm on the Sunway TaihuLight Supercomputer

Fluid mechanical simulation is a typical high-performance computing problem. Due to the development of high-precision parallel algorithms, traditional computing platforms are unable to satisfy the computing requirements of large-scale algorithms. The Sunway TaihuLight supercomputer, which uses the SW26010 processor as its computing node, provides a powerful computing performance for this purpose. In this paper, the Sunway hierarchical parallel fluid machinery (swHPFM) framework and algorithm are proposed. Using the proposed framework and algorithm, engineers can exploit the parallelism of the existing fluid mechanical algorithm and achieve a satisfactory performance on the Sunway TaihuLight. In the framework, a suitable mapping of the model and the system architecture is developed, and the computing power of the SW26010 processor is fully utilized via the scratch pad memory (SPM) access strategy and serpentine register communication. In addition, the framework is implemented and tested by the axial compressor rotor simulation algorithm on a real-world dataset with Sunway many-core processors. The results demonstrate that we can achieve a speedup of up to 8.2×, compared to the original ported version, which only uses management processing elements (MPEs), as well as a 1.3× speedup compared to an Intel Xeon E5 processor. The proposed framework is useful for the optimization of fluid mechanical algorithm programs on computing platforms with a heterogeneous many-core architecture.