Evolution, Challenges, and Optimization in Computer Architecture: The Role of Reconfigurable Systems

TL;DR

This paper reviews the evolution of computer architecture from single-core to multi-core and specialized accelerators, emphasizing the importance of reconfigurable systems in overcoming challenges and enhancing performance.

Contribution

It provides a comprehensive analysis of architectural evolution, challenges, and the role of reconfigurable systems in optimizing modern computational hardware.

Findings

Analysis of multi-core and domain-specific architectures

Evaluation of hardware accelerators like TPUs and RipTide

Highlighting reconfigurable systems' role in future advancements

Abstract

The evolution of computer architecture has led to a paradigm shift from traditional single-core processors to multi-core and domain-specific architectures that address the increasing demands of modern computational workloads. This paper provides a comprehensive study of this evolution, highlighting the challenges and key advancements in the transition from single-core to multi-core processors. It also examines state-of-the-art hardware accelerators, including Tensor Processing Units (TPUs) and their derivatives, RipTide and the Catapult fabric, and evaluates their strategies for optimizing critical performance metrics such as energy consumption, latency, and flexibility. Ultimately, this study emphasizes the role of reconfigurable systems in overcoming current architectural challenges and driving future advancements in computational efficiency.