.png){kind=icon}
.png){kind=icon}
Return
Efficient run-time support for irregular block-structured applications
.png){kind=icon}
PRE
AI
DOI：10.1006/jpdc.1998.1437.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Parallel implementations of scientific applications often rely on elaborate dynamic data structures with complicated communication patterns. We describe a set of intuitive geometric programming abstractions that simplify coordination of irregular block-structured scientific calculations without sacrificing performance. We have implemented these abstractions in KeLP, a C++ run-time library. KeLP's abstractions enable the programmer to express complicated communication patterns for dynamic applications and to tune communication activity with a high-level, abstract interface. We show that KeLP's flexible communication model effectively manages elaborate data motion patterns arising in structured adaptive mesh refinement and achieves performance comparable to hand-coded message-passing on several structured numerical kernels. (C) 1998 Academic Press.
Journal
IF:
4
Papers:
3.8K
Citations:
4.8K
Organization
No organization information available