activity
20172023
most citedAccelerating CNN inference on FPGAs: A Survey

103 citations · 178 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2023

Speckle observations of the binary asteroid (22) Kalliope with C2PU/PISCO

E. Aristidi, B. Carry, K. Minker +13

We present new speckle measurements of the position of Linus, the satellite of the asteroid (22) Kalliope, obtained at the 1m C2PU-Epsilon telescope on the Plateau de Calern, Franc…

cs.DC2018★ 103 cited

Accelerating CNN inference on FPGAs: A Survey

Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot +1

Convolutional Neural Networks (CNNs) are currently adopted to solve an ever greater number of problems, ranging from speech recognition to image classification and segmentation. Th…

cs.DC2017★ 56 cited

Tactics to Directly Map CNN graphs on Embedded FPGAs

Kamel Abdelouahab, Maxime Pelcat, Jocelyn Sérot +3

Deep Convolutional Neural Networks (CNNs) are the state-of-the-art in image classification. Since CNN feed forward propagation involves highly regular parallel computation, it bene…

cs.OH2017★ 1 cited

Hardware Automated Dataflow Deployment of CNNs

Kamel Abdelouahab, Maxime Pelcat, Jocelyn Serot +3

Deep Convolutional Neural Networks (CNNs) are the state of the art systems for image classification and scene understating. However, such techniques are computationally intensive a…

cs.CV2017★ 18 cited

A Holistic Approach for Optimizing DSP Block Utilization of a CNN implementation on FPGA

Kamel Abdelouahab, Cedric Bourrasset, Maxime Pelcat +3

Deep Neural Networks are becoming the de-facto standard models for image understanding, and more generally for computer vision tasks. As they involve highly parallelizable computat…