Patricia Wang serves as a Distinguished Engineer in the HPC Developer Technology team at NVIDIA, where she plays a pivotal role in advancing high-performance computing (HPC) capabilities. With a robust background in scientific and engineering software development, Patricia specializes in performance optimizations and the implementation...
Patricia Wang serves as a Distinguished Engineer in the HPC Developer Technology team at NVIDIA, where she plays a pivotal role in advancing high-performance computing (HPC) capabilities. With a robust background in scientific and engineering software development, Patricia specializes in performance optimizations and the implementation of parallel numerical algorithms. Her expertise in CUDA and GPU architectures enables her to assist developers in effectively porting and optimizing HPC codes, ensuring they achieve the best possible performance on both current and future GPU-based supercomputers.
At NVIDIA, Patricia is deeply involved in key projects that push the boundaries of computational efficiency and scalability. She collaborates closely with researchers and developers across various domains, leveraging her skills in MPI and OpenMP to enhance parallel computing capabilities. By focusing on optimization techniques, she helps teams navigate the complexities of software development, ensuring that their applications can fully exploit the power of NVIDIA’s cutting-edge hardware.
Patricia’s proficiency in C, C++, and Fortran allows her to address a diverse range of programming challenges, making her an invaluable asset in the HPC community. Her commitment to fostering innovation and excellence in high-performance computing not only enhances the performance of existing applications but also lays the groundwork for future advancements in the field. As a thought leader, Patricia continues to drive the evolution of HPC technologies, empowering developers to harness the full potential of GPU computing in their scientific endeavors.
