Silent Data Corruption and Embedded Processing With NASA's SpaceCube PROJECT TITLE :Silent Data Corruption and Embedded Processing With NASA's SpaceCubeABSTRACT :Dramatic will increase in embedded data processing performance are turning into attainable using platforms such as the NASA SpaceCube. With a versatile architecture and industrial devices, selected computations will be tuned for the highest performance while let alone perfect data reliability. More needs to be known about the character of silent information corruption during this paradigm. When it occurs, how pervasive is it? To what extent can it's mitigated whereas near-optimal performance is maintained? This paper provides new insights into these queries, via a fault emulation-based study of 2 disparate applications running on a hard-core embedded processor. Two very low-value ways of knowledge error detection reduce the worst sort of silent information corruption (SDC) by eighty nine–ninety seven% with a performance overhead of $< 1hbox%$. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Characterizing Vulnerability of Network Interfaces in Embedded Chip Multiprocessors Block-Based Major Color Method for Foreground Object Detection on Embedded SoC Platforms
