Name
Abstract | ||
|---|---|---|
Actor-based programming is widely used in concurrent systems to express dependencies between tasks and exploit task-level and pipeline parallelism. Current and emerging multicore architectures induce big challenges in the practical applicability of actors in such systems due to NoC-based distributed memory hierarchies and heterogeneity of processing resources. PGAS-based parallel programming languages tackle these problems and provide concepts for shared memory parallelism and message passing between several heterogeneous compute tiles in a common language. In this position paper, we present a first framework for actor-based programming concepts embedded into the PGAS-based programming language X10 in order to exploit its programmability and portability in the context of heterogeneous multicore architectures. We will show first results by applying the proposed concepts to a complex computer vision task chain written in X10. |
Year | Venue | Field |
|---|---|---|
2014 | ARCS Workshops | Computer science,Parallel computing,Partitioned global address space,Multi-core processor |
DocType | Citations | PageRank |
Conference | 1 | 0.40 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sascha Roloff | 1 | 30 | 4.14 |
| Frank Hannig | 2 | 595 | 75.66 |
| Jürgen Teich | 3 | 2886 | 273.54 |