On the implementation and effectiveness of autoscheduling for shared-memory multiprocessors
On the implementation and effectiveness of autoscheduling for shared-memory multiprocessors
Wavesched: a novel scheduling technique for control-flow intensive behavioral descriptions
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Static scheduling algorithms for allocating directed task graphs to multiprocessors
ACM Computing Surveys (CSUR)
Optimal instruction scheduling using integer programming
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
A comparison of list schedules for parallel processing systems
Communications of the ACM
OpenMP: parallel programming API for shared memory multiprocessors and on-chip multiprocessors
Proceedings of the 15th international symposium on System Synthesis
Automatic Extraction of Functional Parallelism from Ordinary Programs
IEEE Transactions on Parallel and Distributed Systems
Ant Colony Optimization
The future of multiprocessor systems-on-chips
Proceedings of the 41st annual Design Automation Conference
MiBench: A free, commercially representative embedded benchmark suite
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
A new strategy for multiprocessor scheduling of cyclic task graphs
International Journal of High Performance Computing and Networking
Application partitioning on programmable platforms using the ant colony optimization
Journal of Embedded Computing - Embeded Processors and Systems: Architectural Issues and Solutions for Emerging Applications
ETAHM: an energy-aware task allocation algorithm for heterogeneous multiprocessor
Proceedings of the 45th annual Design Automation Conference
Compiling Scilab to high performance embedded multicore systems
Microprocessors & Microsystems
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Efficient mapping and scheduling of partitioned applications are crucial to improve the performance on today's reconfigurable multiprocessor systems-on-chip (MPSoCs) platforms. Most of existing heuristics adopt the Directed Acyclic (task) Graph as representation, that unfortunately, is not able to represent typical embedded applications (e.g., real-time and loop-partitioned). In this paper we propose a novel approach, based on Ant Colony Optimization, that explores different alternative designs to determine an efficient hardware-software partitioning, to decide the task allocation and to establish the execution order of the tasks, dealing with different design constraints imposed by a reconfigurable heterogeneous MPSoC. Moreover, it can be applied to any parallel C application, represented through Hierarchical Task Graphs. We show that our methodology, addressing a realistic target architecture, outperforms existing approaches on a representative set of embedded applications.