Review of Article #1 Communications & Media Article Critique (Article Critique Sample)
Review of the artcle:
Goncalves, M. M., Azambuja, J. R., Condia, J. E., Reorda, M. S., & Sterpone, L. (2020, March). Evaluating Software-based Hardening Techniques for General-Purpose Registers on a GPGPU. In 2020 IEEE Latin-American Test Symposium (LATS) (pp. 1-6). IEEE.
Review of Article #1
Review of Article #1
Summary of the Article
The article "Evaluating Software-based Hardening Techniques for General-Purpose Registers on a GPGPU" written by Goncalves et al. (2020) give details about the significance of Graphics Processing Unites (GPUs) in safety-critical machines such as self-driven automobiles. GPUs are an enticing standard for large authentication applications. In this area of practice, the implementation of defect tolerance techniques is mandatory for detecting or rectifying defects as they have to operate even if defects exist. GPUs are premeditated for aggressive scaling in safety-critical applications. They are subtle to defects initiated by particle emission, such as solitary incident disruptions that can fail the scheme. This document evaluates many software hardening procedures to discover SEUs in the GPU rolls and suggests improved functioning and memory usage. The methods are being deployed in four case studies and assessed in a wide-ranging soft-core GPU grounded on NVIDIAG80. A fault-injection campaign to assess the implemented techniques' fault-survey potential takes place at the register transfer level. The results demonstrate that the anticipated changes can be adapted to dissimilar scenarios and help entrusted professionals navigate the GPGPU application design space.
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