An Overview of Advancements in Deep Learning Processors: A Survey

Author(s)	Vishakha Agrawal
Country	United States
Abstract	Deep learning has revolutionized artificial intelli- gence, driving unprecedented demand for specialized hardware architectures. This survey examines the evolution and current state of deep learning processors, analyzing various architectural approaches, optimization techniques, and emerging technologies. We explore the challenges in designing efficient AI accelerators and evaluate the trade-offs between performance, power effi- ciency, and flexibility across different processor architectures.
Keywords	Graphics Processing Units, Tensor Process- ing Units, Neural Processing Units, FPGA, Neuromorphic Computing, Photonic Neural Networks
Field	Engineering
Published In	Volume 3, Issue 2, February 2022
Published On	2022-02-09
Cite This	An Overview of Advancements in Deep Learning Processors: A Survey - Vishakha Agrawal - IJLRP Volume 3, Issue 2, February 2022. DOI 10.5281/zenodo.14710560
DOI	https://doi.org/10.5281/zenodo.14710560
Short DOI	https://doi.org/g82n7j

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