A Review of Big Data Applications Based on RISC-V
Yue Gao, Enfang Cui, Tianzheng Li · 2024
With the rapid development of big data technology, there is an increasing demand for underlying computing architectures.RISC-V, as an open-source instruction set architecture, has shown tremendous potential and advantage in the field of big data due to its openness, flexibility, and cost-effectiveness, especially the characteristics of RISC-V instruction set being concise, modular, and extensible.The article first reviews the technical background of RISC-V and its current status in the field of big data, highlighting its performance advantages in processing large-scale data sets.It further analyzes the integration and adaptation of the big data core software stack on the RISC-V platform and discusses its optimization.Finally, the article looks forward to the role of RISC-V in the future development of big data technology, providing a forwardlooking perspective for research in related fields.