Name
Abstract | ||
|---|---|---|
Porting scientific simulations to heterogeneous platforms requires complex algorithmic and optimization strategies to overcome memory and communication bottlenecks. Such operations are inexpressible using traditional libraries (e.g., FFTW for spectral methods) and difficult to optimize by hand for various hardware platforms. In this work, we use our GPU-adapted stress-strain analysis method to show how FFTX, a new API that extends FFTW, can be used to express our algorithm without worrying about code optimization, which is handled by a backend code generator. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/HPEC.2019.8916267 | 2019 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | Field | DocType |
FFTX,micromechanical stress-strain analysis,heterogeneous platforms,complex algorithmic optimization strategies,communication bottlenecks,FFTW,spectral methods,hardware platforms,GPU-adapted stress-strain analysis method,code optimization,scientific simulations,API,backend code generator,fast Fourier transforms | Composite material,Stress–strain analysis,Materials science | Conference |
ISSN | ISBN | Citations |
2377-6943 | 978-1-7281-5021-5 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anuva Kulkarni | 1 | 0 | 0.34 |
| Daniele G. Spampinato | 2 | 0 | 0.34 |
| Franz Franchetti | 3 | 974 | 88.39 |