LPFSC: A Light Weight Parallel Framework for Super Computing

Supercomputing on the heterogeneous architectures that integrate multi-core or many-cores processors has been developed at a dramatically speed. It is widely used in theoretical physics, theoretical chemistry, climate modeling, biology simulation and medicine research for high-performance and energy-efficient computing. Yet it is still a big challenge to users when trying to run their scientific applications efficiently on large-scale supercomputers constructed by using heterogeneous multiprocessors. On the other hand, overhead cost issues of a large supercomputer for its resource managements, job scheduling, and system reliability become more and more important. In this paper, LPFSC, a light weight parallel framework for supercomputing, is presented, which helps programmers in planning their tasks on a supercomputer. In a huge supercomputer system, there might be a hundred of thousands of nodes, over a million processor cores and many other kinds of processors, general main-slave computing mode can hardly handle the huge amount of heterogeneous processors. LPFSC consists of modules for multiple master-slave support, load balance among huge amount computing tasks, and reliability support. Additional features will be added in the near future and it is supposed to provide good support for large heterogeneous computer systems. Finally, large amount tasks of 2D-FFT in varying size are tested under the framework for evaluation, which can scale to more than 300 processors.