Improving programmability of heterogeneous many-core systems via explicit platform descriptions
Proceedings of the 4th International Workshop on Multicore Software Engineering
Programming challenges & solutions for multi-processor SoCs: an industrial perspective
Proceedings of the 48th Design Automation Conference
Parallel programming patterns for multi-processor SoC: Application to video processing
ACM Transactions on Embedded Computing Systems (TECS) - Special section on ESTIMedia'12, LCTES'11, rigorous embedded systems design, and multiprocessor system-on-chip for cyber-physical systems
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This article evaluates the scalability and productivity of six parallel programming models for heterogeneous architectures, and finds that task-based models using code and data annotations require the minimum programming effort while sustaining nearly best performance. However, achieving this result requires both extensions of programming models to control locality and granularity and proper interoperability with platform-specific optimizations.