Name
Abstract | ||
|---|---|---|
Finite-difference methods can be useful for solving certain partial differential equations (PDEs) in the time domain. Compiler technologies can be used to parse an application domain specific representation of these PDEs and build an abstract representation of both the equation and the desired solver. This abstract representation can be used to generate a language-specific implementation. We show how this framework can be used to generate software for several parallel platforms: Message Passing Interface (MPI), Threading Building Blocks(TBB) and Compute Unified Device Architecture(CUDA). We present performance data of the automatically-generated parallel code and discuss the implications of the generator in terms of code portability, development time and maintainability. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IPDPS.2011.265 | IPDPS Workshops |
Keywords | Field | DocType |
parallel finite-differencing code,time domain,abstract representation,finite-difference method,application domain specific representation,compute unified device architecture,automatically-generated parallel code,code portability,message passing interface,development time,parallel platform,finite difference methods,instruction sets,message passing,computer architecture,computational modeling,mpi,generators,mathematical model,parallel processing,partial differential equations,finite difference method,maintainability,partial differential equation | CUDA,Computer science,Parallel computing,Compiler,Code generation,Message Passing Interface,Software portability,Application domain,Solver,Message passing | Conference |
Citations | PageRank | References |
1 | 0.37 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. P. Playne | 1 | 75 | 6.13 |
| K. A. Hawick | 2 | 293 | 66.26 |