Author: wp_738037
Most practical applications of quantum algorithms require much more qubits than those provided by current platforms. Merely augmenting the number of physical qubits on a single device is not beneficial for the quality of the…
This Lecture will provide an overview about Special Purpose Processing devices, typically utilized as “accelerators” coupled with General Purpose Processors. Main focus will be on the well known GPUs (Graphical Processing Units), but other accelerators,…
The goal of this lecture is to present and compare the features of some of the most popular Big Data programming frameworks for HPC systems, such as Hadoop, Spark, Storm, Airflow, MPI, Hive, and Pig,…
The lecture shows new trends on HPC architectures, which will be based on heterogenous platforms mixing GPPs (General-Purpose-Processor) and accelerators. At the GPP side, new multi-core Arm 64b solutions with scalable vector extension recently emerged…