Since its debut in 2016, Federated Learning (FL) has been tied to the inner workings of
Deep Neural Networks (DNNs); this allowed its development as DNNs proliferated but …

Abstract High-Performance Computing (HPC) have evolved to be used to perform
simulations of systems where physical experimentation is prohibitively impractical …

There are currently multiple investigations of various RISC-V architectures for different
applications from single-core based edge processors to powerful multi-core systems for …

RISC-V has received worldwide acceptance in the industry and by the academic community.
As of today, multiple RISC-V applications and variants are under investigation for embedded …

High-Performance Computing (HPC) have evolved to be used to perform simulations of
systems where physical experimentation is prohibitively impractical, expensive, or …

The pervasivity of artificial intelligence is structurally changing how societies envision their
development. The perception of what is valuable is rapidly shifting, and data is in the eye of …

Since its debut in 2016, Federated Learning (FL) has been tied to the inner workings of
Deep Neural Networks (DNNs). On the one hand, this allowed its development and …

The rapid development of cloud scenarios and applications has led to increased demand for
computing power. However, a single X86 CPU architecture can no longer meet the diverse …

Gli sforzi di ricerca relativi all'High Performance Computing, nel corso degli anni, hanno
prodotto risultati importanti inerenti all'incremento delle prestazioni sia in termini di numero …

Gli sforzi di ricerca relativi all'High Performance Computing, nel corso degli anni, hanno
prodotto risultati importanti inerenti all'incremento delle prestazioni sia in termini di numero …