Fpg-ai: a technology-independent framework for the automation of cnn deployment on fpgas

T Pacini, E Rapuano, L Fanucci - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, Convolutional Neural Networks (CNNs) have demonstrated outstanding
results in several emerging classification tasks. The high-quality predictions are often …

Deploying multi-tenant fpgas within linux-based cloud infrastructure

JM Mbongue, DT Kwadjo, A Shuping… - ACM Transactions on …, 2021 - dl.acm.org
Cloud deployments now increasingly exploit Field-Programmable Gate Array (FPGA)
accelerators as part of virtual instances. While cloud FPGAs are still essentially single …

Towards a component-based acceleration of convolutional neural networks on FPGAs

DT Kwadjo, EN Tchinda, JM Mbongue… - Journal of Parallel and …, 2022 - Elsevier
Abstract In recent years, Convolution Neural Networks (CNN) have been extensively
adopted in broad Artificial Intelligence (AI) applications and have demonstrated ability and …

DSCU: Accelerating CNN inference in FPGAs with dual sizes of compute unit

Z Bao, J Guo, W Zhang, H Dang - Journal of Low Power Electronics and …, 2022 - mdpi.com
FPGA-based accelerators have shown great potential in improving the performance of CNN
inference. However, the existing FPGA-based approaches suffer from a low compute unit …

[PDF][PDF] DSCU: Accelerating CNN Inference in FPGAs with Dual Sizes of Compute Unit. J. Low Power Electron. Appl. 2022, 12, 11

Z Bao, J Guo, W Zhang, H Dang - 2022 - pdfs.semanticscholar.org
FPGA-based accelerators have shown great potential in improving the performance of CNN
inference. However, the existing FPGA-based approaches suffer from a low compute unit …