Author: wp_738037
As the architecture of modern supercomputers becomes increasinglyheterogeneous and diverse, traditional programming approaches (e.g.,MPI + OpenMP + some dedicated GPU API) hit some fundamental limitsthat make it hard to develop mathematical software that is efficientand,…
The current static usage model of HPC systems is becoming increasingly inefficient. This is driven by the continuously growing complexity and heterogeneity of system architectures, in combination with the increased usage of coupled applications, the…
As machines get larger and scientific applications advance, it is more and more imperative to fully utilize high performance computing (HPC) capability. The complexity and changing landscape of parallel computers may lead to users being…
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,…