Arbitrary-precision integer multiplication is the core kernel of many
ap...
Scheduling on dataflow graphs (also known as computation graphs) is an
N...
To lower the barrier to diffractive optical neural networks (DONNs) desi...
Recently, there are increasing efforts on advancing optical neural netwo...
Deep neural networks (DNNs) have substantial computational and memory
re...
As a representative next-generation device/circuit technology beyond CMO...
Reasoning high-level abstractions from bit-blasted Boolean networks (BNs...
Diffractive optical neural networks (DONNs) have attracted lots of atten...
Recent years have seen increasing employment of decision intelligence in...
Deep neural networks (DNNs) have substantial computational requirements,...
The minibatch stochastic gradient descent method (SGD) is widely applied...
Physical design process commonly consumes hours to days for large design...
This paper presents a fast and effective computer algebraic method for
a...
Due to the increasing complexity of Integrated Circuits (ICs) and
System...
Galois Field arithmetic blocks are the key components in many security
a...
Design flows are the explicit combinations of design transformations,
pr...
Galois field (GF) arithmetic circuits find numerous applications in
comm...
This paper presents an advanced DAG-based algorithm for datapath synthes...
Current techniques for formally verifying circuits implemented in Galois...
Galois field (GF) arithmetic is used to implement critical arithmetic
co...