January 2020
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13 Reads
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2 Citations
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... However, to date, these technologies have tended to result in significant performance overheads, required the programmer to ensure their code fits within the limited on-chip memory, provided limited choices around data location and size, and provided little, if any, portability across architectures. As evidenced by ePython [12], a Python interpreter for the Epiphany-III, dynamic programming languages can significantly reduce the programming effort required to overcome these complexities in comparison to the provided, low-level C software development kits (SDKs) [22]. ...
January 2020