With the increasing number of new containerized applications, such as high performance
and deep learning applications, started to reply on GPU, efficiently supporting GPU in …

Edge computing offers the distinct advantage of harnessing compute capabilities on
resources located at the edge of the network to run workloads of relatively weak user …

Graphics processing units (GPUs) are currently used in data centers to reduce the execution
time of compute‐intensive applications. However, the use of GPUs presents several side …

The growing connection between the Internet of Things (IoT) and Artificial Intelligence (AI)
poses many challenges that require novel approaches and even a rethinking of the entire …

The computing power of supercomputers and data centers has noticeably grown during the
last decades at the cost of an ever increasing energy demand. The need for energy (and …

The multiple sensors and touch capabilities of mobile devices are defining new methods of
computer interaction. However, the computing power of such devices is not currently …

Detecting traces of positive selection in genomes carries theoretical significance and has
practical applications from shedding light on the forces that drive adaptive evolution to the …

The Graphics Processing Unit (GPU) is a co-processor designed to aid the Central
Processing Unit (CPU) for rendering 3D graphics. The prompt development of these …