Graphics processing units (GPUs) have been the target of a significant body of recent real-
time research, but research is often hampered by the “black box” nature of GPU hardware …

Edge computing is essential to handle increasing data volumes and processing capacities. It
provides real-time and secure data processing near data sources, like smart devices …

Nowadays, heterogeneous embedded platforms are extensively used in various low-latency
applications, including the automotive industry, real-time IoT systems, and automated …

In modern autonomous systems such as self-driving cars, sustained safe operation requires
running complex software at rates possible only with the help of specialized computational …

Software developers must adapt to keep up with the changing capabilities of platforms so
that they can utilize the power of High-Performance Computers (HPC), including exascale …

Edge computing is essential to handle increasing data volumes and processing capacities. It
provides real-time, secure data processing near data sources, like smart devices, alleviating …

Oggigiorno, una varietà di applicazioni, tra cui fabbriche automatizzate, veicoli autonomi e
Sistemi Cyber Fisici (CPS), stanno vivendo una crescita significativa. Date le diverse sfide …

In recent years, a common pattern has emerged where numerical software is designed
around a Python interface calling high-performance kernels written in a lower level …

Περίληψη Σκοπός της παρούσας διπλωματικής εργασίας είναι η εξερεύνηση διαφορετικών
υλοποιήσεων μιας βιβλιοθήκης δρομολόγησης υπο-προβλημάτων γραμμικής άλγεβρας σε …

GPUs (Graphics processing units) are commonly used in high-performance computing to
improve the execution time of parallelizable programs. SeisSol, as such a program, can …