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Annotations for Massively Parallel Computations
| Content Provider | Semantic Scholar |
|---|---|
| Author | Aldinucci, Marco Campa, Sonia Kilpatrick, Peter Torquati, Massimo |
| Abstract | We describe an approach aimed at addressing the issue of joint exploitation of control (stream) and data parallelism in a skeleton based parallel programming environment, based on annotations and refactoring. Annotations drive efficient implementation of a parallel computation. Refactoring is used to transform the associated skeleton tree into a more efficient, functionally equivalent skeleton tree. In most cases, cost models are used to drive the refactoring process. We show how sample use case applications/kernels may be optimized and discuss preliminary experiments with FastFlow assessing the theoretical results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://iris.unito.it/retrieve/handle/2318/140091/238639/Structured_data_access_annotations_for_m.pdf |
| Alternate Webpage(s) | https://aperto.unito.it/retrieve/handle/2318/140091/238639/Structured_data_access_annotations_for_m.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |