Addressing challenges using GPUs to accelerate research software in scientific applications (eScience Center)

Graphics processing units (GPUs) have emerged as a powerful platform because they offer high performance and energy efficiency at relatively low cost. They have been successfully used to accelerate many scientific workloads. Today, many of the top500 supercomputers are equipped with GPUs and are the driving force behind the recent surge in machine learning. However,... Read more » Het bericht Addressing challenges using GPUs to accelerate research software in scientific applications verscheen eerst op eScience center.