Machine learning and data analytics applications increasingly suffer fro...
Actor frameworks and similar reactive programming techniques are widely ...
The rise of data-intensive applications exposed the limitations of
conve...
Using parallel embedded systems these days is increasing. They are getti...
Recent DNA pre-alignment filter designs employ DRAM for storing the refe...
Numerical simulations can help solve complex problems. Most of these
alg...
Chiplets have become a common methodology in modern chip design. Chiplet...
Hyperdimensional computing (HDC) is an emerging computational framework
...
Many applications are increasingly requiring numerical simulations for
s...
The polyhedral model allows a structured way of defining semantics-prese...
High-Performance Big Data Analytics (HPDA) applications are characterize...
The open-source and community-supported gem5 simulator is one of the mos...
Ultra-dense non-volatile racetrack memories (RTMs) have been investigate...
AUTOSAR Adaptive Platform is an emerging industry standard that tackles ...
Various vulnerabilities have been found in message parsers of protocol
i...
This manuscript gives a category-theoretic foundation to the composition...
Racetrack memories (RMs) have significantly evolved since their concepti...
Domain-specific languages (DSLs) are of increasing importance in scienti...
In recent years, architectures combining a reconfigurable fabric and a
g...