Automated Answer Validation using Text Similarity
Balaji Ganesan, Arjun Ravikumar, et al.
ICON 2023
In this paper, we describe application-specific extensions for fuzzy processing to a general purpose processor. The application-specific instruction set extensions were defined and evaluated using hardware/software codesign techniques. Based on this approach, we have extended the MIPS instruction set architecture with only a few new instructions to significantly speed up fuzzy computation with no increase of the processor cycle time and with only minor increase in chip area. The processor is implemented using a reconfigurable processor core which was designed as a starting point for application-specific processor designs to be used in embedded applications. Performance is presented for three representative applications of varying complexity. © 2000 IEEE.
Balaji Ganesan, Arjun Ravikumar, et al.
ICON 2023
Eunho Yang, Aurelie C. Lozano, et al.
ICML 2014
Robert Farrell, Rajarshi Das, et al.
AAAI-SS 2010
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VEE 2012