5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs
Ehsan Kabir, Jason D. Bakos, David Andrews +1
Transformer neural networks (TNN) excel in natural language processing (NLP), machine translation, and computer vision (CV) without relying on recurrent or convolutional layers. Ho…
ProTEA: Programmable Transformer Encoder Acceleration on FPGA
Ehsan Kabir, Jason D. Bakos, David Andrews +1
Transformer neural networks (TNN) have been widely utilized on a diverse range of applications, including natural language processing (NLP), machine translation, and computer visio…
FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on UltraScale+ FPGAs
Ehsan Kabir, Md. Arafat Kabir, Austin R. J. Downey +3
Transformer neural networks (TNNs) are being applied across a widening range of application domains, including natural language processing (NLP), machine translation, and computer…
Accelerating LSTM-based High-Rate Dynamic System Models
Ehsan Kabir, Daniel Coble, Joud N. Satme +4
In this paper, we evaluate the use of a trained Long Short-Term Memory (LSTM) network as a surrogate for a Euler-Bernoulli beam model, and then we describe and characterize an FPGA…