Design and Implementation of RAW: A Wireless-Enabled Reconfigurable Architecture for Next-Generation Supercomputers

Abstract

The exponential growth of data and the increasing complexity of modern applications have created a pressing need for scalable, adaptive, and high-performance computing systems. Traditional supercomputing architectures, largely dependent on static interconnects and rigid hardware configurations, are struggling to keep pace with these evolving requirements. To address these limitations, this paper presents the design and implementation of RAW—a Wireless-Enabled Reconfigurable Architecture—geared toward the future of supercomputing. By integrating reconfigurable logic with high-speed wireless interconnects, RAW offers a flexible and scalable computing model capable of real-time adaptation to dynamic workloads. This paper outlines the architectural design, core components, and practical considerations involved in implementing RAW. It also explores how RAW can meet the challenges of performance, energy efficiency, and communication latency in large-scale computing environments. Through this approach, RAW is positioned as a transformative architecture for next-generation supercomputers, aligning with the growing demands of data-intensive and adaptive computing.