Abstract
Process-oriented programming is a design methodology in which software applications are constructed from communicating concurrent processes. A typical process-oriented design involves the composition of a large number of small isolated component processes. These concurrent components allow for the scalable parallel execution of the resulting application on both shared-memory and distributed-memory architectures. In this paper we present a runtime designed to support process-oriented programming by providing lightweight processes and communication primitives. The runtime’s scheduler, implemented using lock-free algorithms, automatically executes concurrent components in parallel on multicore systems. Heuristics dynamically group processes into cache-affine work units based on communication patterns. Work units are then distributed via wait-free work-stealing. Initial performance analysis shows that, using the algorithms presented in this paper, process-oriented software can execute with an efficiency approaching that of optimised sequential and coarse-grain threaded designs.
Original language | English |
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Pages (from-to) | 727-740 |
Number of pages | 14 |
Journal | Science of Computer Programming |
Volume | 77 |
Issue number | 6 |
DOIs | |
Publication status | Published - Jun 2012 |
Externally published | Yes |
Keywords
- Concurrency
- Multicore
- Process-oriented
- Scheduling