Abstract
This case study presents an analytical performance model for the DARPA UHPC streaming sensor challenge problem developed using Aspen, a domain-specific language for performance modeling. The model focuses on the exploration of algorithmic tradeoffs, data structures and storage, and the impact of an important tiling factor in the image formation kernel of a synthetic aperture radar image-processing computation.
| Original language | English |
|---|---|
| Pages (from-to) | 255-262 |
| Number of pages | 8 |
| Journal | International Journal of High Performance Computing Applications |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 2013 |
Funding
This research is sponsored by the Office of Advanced Scientific Computing Research in the U.S. Department of Energy and DARPA (contract number HR0011-10-9-0008). The paper has been authored by Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC under Contract DE-AC05- 00OR22725 to the U.S. Government. Accordingly, the U.S. Government retains a non-exclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes.
| Funders | Funder number |
|---|---|
| U.S. Department of Energy | |
| Defense Advanced Research Projects Agency | HR0011-10-9-0008, DE-AC05- 00OR22725 |
| Advanced Scientific Computing Research |
Keywords
- Aspen
- Echelon
- FFT
- performance modeling
- synthetic aperture radar
- workload characterization