Hardware/ Software Co-Design Advances for Optimizing Resource Allocation in Reconfigurable Systems

Abstract

In the phenomenal evolution of computing systems, being able to adapt and 
work efficiently has become a most important attribute. However, at the 
cutting edge of this technological revolution is hardware/software co-design 
for reconfigurable systems. By merging the processing power of customizable 
hardware with the flexibility of software, this breaks new ground in system 
optimization and resource allocation, without the loss of real hardware. We 
will dive into this interesting horizon and uncover how co-design methodol
ogies change the landscape of modern computing to unimaginable levels of 
performance and versatility. With its ever increasing computational demand, 
the ability to dynamically allocate resources and reconfigure system archi
tectures on the fly is turning out to be a game changer. The principles of 
hardware/software co-design have been applied to real world problems in 
a range of different domains from embedded systems to high performance 
clusters. This paper is intended to serve as a comprehensive overview of 
the latest developments, methodologies, and real world applications of this 
ground breaking approach to system design. Leaving behind the traditional 
hardware and software partitioning, coopting the concept of cutting edge 
algorithms for task partitioning and scheduling from machine learning to 
those devising scheduling policies for hardware, studying the synergies be
tween hardware and software components, we present the synergies of re
configurable computing platforms and hardware implementation. Together, 
let’s walk you through this exciting journey of optimized resource allocation 
where hardware and software begin to intermingle, leading to systems that 
are more powerful, efficient and adaptable than ever before.