Portable Framework for Real-Time Parallel Image Processing on High Performance Embedded Platforms

Abstract

The trend to efficient, however more complex, multicore designs has also reached the world of Digital Signal Processors (DSP), a field where typically low-level programming has been prevalent. To overcome the additional complexity of programming multi-core and multi-chip DSP systems, we present an object-oriented framework for task-based parallel programming on the highly power efficient Texas Instruments TSMC320C6678 platform. Our framework incorporates hardware architectural details of this platform such as DMA units in a high-level manner, while maintaining portability -guiding the path for algorithmic designers from PCs to embedded DSP platforms. The whole framework has been designed and implemented with real-time requirements and low overhead in mind, which is crucial for the acceptance of higher-level solutions on embedded systems.

Multicore development environment for embedded processor in arduino IDE

“…Despite the number of MPSoCs available, parallel programming in embedded system is still uncommon due to limited support in the form of user-friendly libraries and development platform. Several works attempt to support parallel programming by providing frameworks [16,17], parallel pipeline extraction [18], as well as teaching platform [19]. However, most of these platforms are rather specific in terms of their applications, languages, or program structures.…”