Wireless and Reconfigurable Architecture (RAW) for Scalable Supercomputing Environments

Abstract

The growing demands for high-performance computing (HPC) have intensified the need for scalable, flexible, and efficient architectural designs. Traditional wired interconnects in supercomputing environments face inherent limitations in scalability, energy efficiency, and dynamic adaptability. In response to these challenges, Wireless and Reconfigurable Architecture (RAW) emerges as a promising paradigm that integrates wireless communication with reconfigurable hardware elements to enhance performance, adaptability, and scalability in supercomputing systems. RAW leverages advancements in mmWave and THz wireless technologies, along with reconfigurable computing platforms such as FPGAs and CGRAs, to support dynamic workloads, minimize communication latency, and reduce energy consumption. This paper explores the design principles, advantages, and implementation challenges of RAW architectures in scalable supercomputing environments. The study highlights how RAW can transform the future of HPC systems by enabling real-time reconfiguration, agile resource allocation, and highly efficient data communication frameworks.