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Auto-Tuning the 27-point Stencil for Multicore
| Content Provider | Semantic Scholar |
|---|---|
| Author | Williams, Samuel Datta, Kaushik Volkov Carter, Jonathan Oliker, Leonid Shalf, John Yelick, Katherine A. |
| Copyright Year | 2009 |
| Abstract | This study focuses on the key numerical technique of stencil computations, used in many different scientific disciplines, and illustrates how auto-tuning can be used to produce very efficient implementations across a diverse set of current multicore architectures. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://iwapt.org/2009/pdf/iwapt2009_datta.pdf |
| Alternate Webpage(s) | http://www.nersc.gov/~oliker/papers/iwapt09.pdf |
| Alternate Webpage(s) | https://crd.lbl.gov/assets/pubs_presos/iwapt09-27pt.pdf |
| Alternate Webpage(s) | http://crd.lbl.gov/assets/pubs_presos/iwapt09-27pt.pdf |
| Alternate Webpage(s) | http://bebop.cs.berkeley.edu/pubs/iwapt2009_datta.pdf |
| Alternate Webpage(s) | http://crd.lbl.gov/~oliker/papers/iwapt09.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |