Our computational capabilities are a crucial asset. The high-performance supercomputing platform at the Shenzhen Bay Laboratory includes:
1. CPU Computing Resources:
(1) cu-1 Queue: 392 nodes, each with a single node comprising 32 cores of Intel(R) Xeon(R) Gold 6242 CPU @ 2.80GHz.
(2) fat-1 Queue: 16 nodes, each with a single node consisting of 192 virtual cores.
(3) cpuPartition Queue: 70 nodes, each with a single node containing 64 cores of Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz.
2. GPU Computing Resources:
(1) 3 nodes, each with 4 Tesla V100 32G GPU cards.
(2) 15 nodes, each with 2 Tesla V100 32G GPU cards.
(3) 4 nodes, each with 8 Tesla A100 80G GPU cards.
This powerful computational infrastructure provides robust support for our high-performance PET development.
Professor Jing Wu 's research group, affiliated with Beijing Normal University, benefits from the abundant research platform resources of the Key Laboratory of Radiopharmaceuticals (Beijing Normal University), Ministry of Education. Specializing in the fields of medical physics and imaging algorithms, the group is dedicated to advancing innovation and development in PET and SPECT imaging systems. Through close collaboration with Professor Wu Jing, we receive robust support for our research in medical physics and imaging algorithms. This collaboration not only strengthens our technical expertise in the development of PET systems but also enriches our research content in the fields of medical physics and imaging algorithms. By sharing research platforms and resources, we not only deepen technical cooperation but also collectively contribute to advancing cutting-edge research in medical imaging technology.
Professor Qingyang Wei's research group at Beijing University of Science and Technology collaborates closely with the Beijing Industrial Spectroscopy Imaging Engineering Technology Research Center. This partnership significantly enhances our capabilities in nuclear medical imaging, radiation technology, and medical image processing. The collaboration strengthens our expertise in PET system development, providing crucial support for our research. By sharing research platforms and resources, we foster technical exchanges in nuclear medicine, contributing to the advancement of scientific research in medical imaging. This strategic collaboration not only boosts our international influence but also establishes a strong foundation for driving innovation in nuclear medical technology.
Professor Zhanli Hu's research group at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, collaborates closely with our research group, jointly committed to advancing innovation in the field of PET system development. His team has successfully applied advanced medical imaging technologies in domestically produced high-end medical equipment. This collaborative relationship has provided invaluable support for our research and development, enabling our research group to integrate the latest medical imaging technologies into our projects in the future.