Embedded deep learning accelerators: A survey on recent advances

G Akkad, A Mansour, E Inaty - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
The exponential increase in generated data as well as the advances in high-performance
computing has paved the way for the use of complex machine learning methods. Indeed, the …

Real-time pneumonia prediction using pipelined spark and high-performance computing

A Ravikumar, H Sriraman - PeerJ Computer Science, 2023 - peerj.com
Background Pneumonia is a respiratory disease caused by bacteria; it affects many people,
particularly in impoverished countries where pollution, unclean living standards …

A novel processor for artificial intelligence acceleration

A Kostadinov, G Kouzaev - 2022 - ntnuopen.ntnu.no
A variable predicate logic processor (VPLP) is proposed for artificial intelligence (AI),
robotics, computer-aided medicine, electronic security, and other applications. The …

DPro-SM–A distributed framework for proactive straggler mitigation using LSTM

A Ravikumar, H Sriraman - Heliyon, 2024 - cell.com
The recent advancement in deep learning with growth in big data and high-performance
computing is Distributed Deep Learning. The rapid rise in the volume of data and network …

Variable-Logic Processor on Paired Wires for Artificial Intelligence Acceleration

GA Kouzaev - Applications of Advanced Electromagnetics: Microwave …, 2025 - Springer
A variable predicate logic processor (VPLP) is considered for artificial intelligence (AI),
robotics, computer-aided medicine, electronic security, and other applications. The …

Customized FPGA Design and Analysis of Soft-Core Processor for DNN

H Sriraman, A Ravikumar - Procedia Computer Science, 2023 - Elsevier
Transistor scaling has continued to yield significant performance gains. The general-
purpose architecture will not suffice in this dark silicon era with the big data boom and …