74 citations · 200 across the 17 of their papers we have counts for
5 papers · 1 filter
NERO: A Near High-Bandwidth Memory Stencil Accelerator for Weather Prediction Modeling
Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner +4
Ongoing climate change calls for fast and accurate weather and climate modeling. However, when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU impl…
TDO-CIM: Transparent Detection and Offloading for Computation In-memory
Kanishkan Vadivel, Lorenzo Chelini, Ali BanaGozar +4
Computation in-memory is a promising non-von Neumann approach aiming at completely diminishing the data transfer to and from the memory subsystem. Although a lot of architectures h…
Near Memory Acceleration on High Resolution Radio Astronomy Imaging
Stefano Corda, Bram Veenboer, Ahsan Javed Awan +3
Modern radio telescopes like the Square Kilometer Array (SKA) will need to process in real-time exabytes of radio-astronomical signals to construct a high-resolution map of the sky…
Quantization of Deep Neural Networks for Accumulator-constrained Processors
Barry de Bruin, Zoran Zivkovic, Henk Corporaal
We introduce an Artificial Neural Network (ANN) quantization methodology for platforms without wide accumulation registers. This enables fixed-point model deployment on embedded co…
OptComNet: Optimized Neural Networks for Low-Complexity Channel Estimation
Michel van Lier, Alexios Balatsoukas-Stimming, Henk Corporaaal +1
The use of machine learning methods to tackle challenging physical layer signal processing tasks has attracted significant attention. In this work, we focus on the use of neural ne…