Accelerating LSTM-based High-Rate Dynamic System Models
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 …
a surrogate for a Euler-Bernoulli beam model, and then we describe and characterize an …
FPGA Processor In Memory Architectures (PIMs): Overlay or Overhaul?
The dominance of machine learning and the ending of Moore's law have renewed interests
in Processor in Memory (PIM) architectures. This interest has produced several recent …
in Processor in Memory (PIM) architectures. This interest has produced several recent …
ReMoDeL-FPGA: Reconfigurable Memory-centric Array Processor Architecture for Deep-Learning Acceleration on FPGA
MA Kabir - 2024 - search.proquest.com
Deep-Learning has become a dominant computing paradigm across a broad range of
application domains. Different architectures of Deep-Networks like CNN, MLP, and RNN …
application domains. Different architectures of Deep-Networks like CNN, MLP, and RNN …
A Memory-Centric Customizable Domain-Specific FPGA Overlay for Accelerating Machine Learning Applications
A Panahi - 2022 - search.proquest.com
Low latency inferencing is of paramount importance to a wide range of real time and user
facing Machine Learning (ML) applications. Field Programmable Gate Arrays (FPGAs) offer …
facing Machine Learning (ML) applications. Field Programmable Gate Arrays (FPGAs) offer …
Online Backpropagation of Recurrent Neural Network for Forecasting Nonstationary Structural Responses
Online time series forecasting of dynamic structural responses subjected to nonstationary
inputs enables the development of prognostic models used to compute the remaining useful …
inputs enables the development of prognostic models used to compute the remaining useful …