Experimenting with low-overhead OpenMP runtime on IBM Blue Gene/Q

ABSTRACT As newer supercomputers continue to increase the number of threads, there is growing pressure on applications to exploit more of the available parallelism in their codes, including coarse-, medium-, and fine-grain parallelism. OpenMP™ is one of the dominant shared-memory programming models and is well suited for exploiting medium- and fine-grain parallelism. OpenMP research has focused on application tuning, compiler optimizations, programming-model extensions, and porting to distributed-memory platforms; however, we have found that current algorithms used to implement basic OpenMP constructs have significant overheads and scale poorly. In this paper, we explore low-overhead, scalable algorithms for creating parallel regions and demonstrate reductions in overhead of up to a factor of 5 on an IBM Blue Gene®/Q node.

KEYWORDS

SHARE & LIKE

COMMENTS

ABOUT THE AUTHOR

IBM journal of research and development

0 Following 2 Fans 0 Projects 70 Articles

SIMILAR ARTICLES

ABSTRACT The IBM Blue Gene®/Q supercomputer is designed for highly efficient computing for problems dominated by floating-point computation. Its tar

阅读更多

ABSTRACT Enterprise adoption of cloud computing often requires a significant transformation of existing information technology (IT) systems and proc

阅读更多

ABSTRACT The heart of a Blue Gene®/Q system is the Blue Gene/Q Compute (BQC) chip, which combines processors, memory, and communication functions on

阅读更多

ABSTRACT The heart of a Blue Gene®/Q system is the Blue Gene/Q Compute (BQC) chip, which combines processors, memory, and communication functions on

阅读更多

ABSTRACT The IBM Blue Gene®/Q supercomputer is designed for highly efficient computing for problems dominated by floating-point computation. Its tar

阅读更多

In this paper, we explain the techniques used in IBM Blue Gene®/Q Compute chips to achieve high energy efficiency. Architectural techniques include the

阅读更多

In this paper, we explain the techniques used in IBM Blue Gene®/Q Compute chips to achieve high energy efficiency. Architectural techniques include the

阅读更多

ABSTRACT In order to understand application-level power/performance tradeoffs on current computer systems, runtime monitoring capabilities are neede

阅读更多

ABSTRACT In order to understand application-level power/performance tradeoffs on current computer systems, runtime monitoring capabilities are neede

阅读更多

ABSTRACT The principal focus areas for system software on the IBM Blue Gene®/Q include ultrascalability and high reliability while delivering the fu

阅读更多