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As processors and systems on chip in the embedded world increasingly become multicore, parallel programming remains a difficult, time-consuming and complicated task. End users who are not parallel programming experts have a need to exploit such processors and architectures, using high level programming languages, like Scilab or MATLAB. The ALMA toolset solves this problem: it takes Scilab code as...
As processors and systems-on-chip increasingly become multicore, parallel programming remains a difficult, time-consuming and complicated task. End users who are not parallel programming experts have a need to exploit such processors and architectures, using state of the art fourth generation of high programming languages, like Scilab or MATLAB. The ALMA toolset addresses this problem by receiving...
The design of high-performance Multiprocessor Systems-on-Chip (MPSoCs) has proven to be an attractive challenge in embedded systems design automation. However, the complexity of such designs associated with short time-to-market constraints impose serious limitations on the exploration of different configurations and scenarios on the design space exploration. The use of virtual platforms may decrease...
The mapping process of high performance embedded applications to today's reconfigurable multiprocessor System-on-Chip devices suffers from a complex toolchain and programming process. Thus, the efficient programming of such architectures in terms of achievable performance and power consumption is limited to experts only. Enabling them to nonexperts requires a simplified programming process that hides...
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