Convolutional Neural Networks (CNNs) are used in a wide range of
applica...
With the rising complexity of numerous novel applications that serve our...
In this paper, we present Quark, an integer RISC-V vector processor
spec...
We present a DNN accelerator that allows inference at arbitrary precisio...
In this paper we study the effects of quantization in DNN training. We
h...
Spacecraft pose estimation is an essential computer vision application t...
Memristors enable the computation of matrix-vector multiplications (MVM)...
Recent efforts in deep learning show a considerable advancement in
redes...
The P4 language has drastically changed the networking field as it allow...
The emergence of P4, a domain specific language, coupled to PISA, a doma...
Convolutional Neural Networks (CNNs) have a major impact on our society
...
Deep neural networks (DNNs) depend on the storage of a large number of
p...
Model quantization is leveraged to reduce the memory consumption and the...
SRAM-based FPGAs are popular in the aerospace industry for their field
p...
Due to the emergence of new network applications, current IP lookup engi...
SRAM-based FPGAs are increasingly popular in the aerospace industry due ...