Affiliation:
1. Department of Computer Systems and Technologies Technical University of Sofia, Plovdiv Branch 25 Tsanko Diustabanov Str., 4000 Plovdiv BULGARIA
2. Department of Electronic Systems Norwegian University of Science and Technology - NTNU Gløshaugen, O.S. Bragstads plass 2B, 7491 Trondheim NORWAY
Abstract
A variable predicate logic processor (VPLP) is proposed for artificial intelligence (AI), robotics, computer-aided medicine, electronic security, and other applications. The development is realized as an accelerating unit in AI computing machines. The difference from known designs, the datapath of this processor consists of universal gates changing on-the-fly their logical styles-subsets of predicate logic according to the data type and implemented instructions. In this paper, the processor’s reconfigurable gates and the main units are proposed, designed, modeled, and verified using a Field-Programmable Gate Array (FPGA) board and corresponding computer-aided design (CAD) tool. The implemented processor confirmed its reconfigurability on-the-fly performing testing codes. This processor is interesting in accelerating AI computing, molecular and quantum calculations in science, cryptography, computer-aided medicine, robotics, etc.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Electrical and Electronic Engineering
Reference70 articles.
1. C. Bobda, Introduction to Reconfigurable Computing Architectures, Algorithms, and Applications, Springer, 2007.
2. Reconfigurable Computing: From FPGAs to Hardware/Software Codesign, Cardoso J.M.P and M. Hübner, (Eds.), Springer, 2011.
3. I. Pérez and M. Figueroa, A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems, Sensors, Vol. 21, Issue 8, 2637, 2021. https://doi.org/10.3390/s21082637
4. R. Chen,T. Wu,Y. Zheng, and M. Ling, MLoF: Machine Learning Accelerators for the LowCost FPGA Platforms, Appl. Sc., Vol. 12, Issue 1, 89, 2021. https://doi.org/10.3390/app12010089
5. K. Seng, P. Lee, and L. Ang, Embedded Intelligence on FPGA: Survey, Applications and Challenges, Electronics, Vol. 10, Issue 8, 895, 2021. https://doi.org/10.3390/electronics10080895
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献