The increasing availability of machines relying on non-GPU architectures, such as ARM
A64FX in high-performance computing, provides a set of interesting challenges to …

Deep Neural Networks are designed explicitly for visionbased applications. They have
become a standard method for image classification, object detection, real-time processing …

The rapid increase in computer hardware capabilities demands the need for greater parallel
efficiency. While the existing CPU parallelization techniques using OpenMP provide …

In recent years, computers based on the RISC-V architecture have raised broad interest in
the high-performance computing (HPC) community. As the RISC-V community develops the …

Numerical weather prediction (NWP) systems are crucial tools in atmospheric science
education and weather forecasting, and high-performance computing (HPC) is essential for …

With the popularity of unlocking and payment of using the face-swi** function, the era of
face recognition has arrived. However, the current face recognition technology can identify …

In recent years, interest in RISC-V computing architectures has moved from academic to
mainstream, especially in the field of High Performance Computing where energy limitations …

The rise of Edge Computing has brought Single Board Computing Clusters (SBCCs) back
into the spotlight. With their efficient performance-to-power ratio, SBCs are becoming key …

Separating algorithms from their computation schedule has become a de facto solution to
tackle the challenges of develo** high performance code on modern heterogeneous …

Internet of Things (IoT) devices with limited resources struggle to generate the high-quality
entropy required for high-quality randomness. This results in weak cryptographic keys. As …