Role of Reconfigurable Computing in speeding up Machine Learning Algorithms
DOI:
https://doi.org/10.31838/RCC/02.02.02Keywords:
Accelerated Computation;, Machine Learning;, Optimization Techniques;, Reconfigurable Hardware;, Speedup Algorithms;, System EfficiencyAbstract
In this article, we will explore fundamental concepts of reconfigurable com
puting, its advantage over AI and ML, and how it is transforming many in
dustries. In the realm of artificial intelligence, reconfigurable computing is
opening up new possibilities and pushing the boundaries of what’s possible:
from edge computing to data centers, from financial services to healthcare.
Follow us on this trip as we reveal the potential of reconfigurable computing
as the game changer for the future of AI and ML acceleration. In this excit
ing field of computer architecture and software systems, we’ll look at the
technical details, the real world applications, and the challenges to come.
Reconfigurable (or something very like reconfigurable) computing is a par
adigm shift in computer architecture bridging between the scale and the
performance of traditional software and the high performance of specialized
hardware. What is a reconfigurable computer is at its core modifiable hard
ware structure to support those computational tasks.