Vector architectures have been traditionally applied to the supercomputing domain with many successful incarnations. The energy efficiency and high performance of vector processors, as well as their ability to efficiently process large datasets, make them an attractive choice for high-performance computing applications. However, the increasing complexity of modern systems and the need for more efficient resource utilization have led to the development of new vector-based architectures and techniques, such as VALib and SimpleVector, which aim to improve the performance and energy efficiency of vector processing.