iNeP - integrierte Netzentwicklungsplanung für die Energieträger Strom, Gas und Wärme Vorwerk, Daniela; Schulz, Detlef; Micheely, Stefan; Koch, Oliver Henry; Cosler, Cristoph; Heise, Johannes; Mostafa, Marwan; Povel, Alexander; Töbermann, Christian Stand der Technik und Digitalisierung bei integrierten Energiesystemen, Sektorenkopplungs- und Mobilitätstechnologien. - Hamburg : HSU, 2021. - (Hamburger Beiträge zum technischen Klimaschutz ; Bd. 3). - Seite 47-56 (2021)
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Verlags DOI
This course will prepare students to understand the architecture, organization, and programming of parallel computers. The course starts with parallel computers classification, multithreading, and covers the architecture of centralized and distributed shared-memory parallel systems, multiprocessor cache coherence, snooping / directory-based cache coherence protocols, implementation, and limitations. Next, the students study interconnection networks and routing in parallel systems, synchronization, and memory consistency. To ensure the correctness of shared-memory multithreaded programs, independent of the speed of execution of its independent threads, the important topics of memory consistency and synchronization will be covered in detail. As a case study, the architecture of a few accelerators such as GPUs will also be discussed in detail. Besides understanding the architecture and organization of parallel systems, programming them is also very challenging. The course will cover how to program massively parallel systems using API/libraries such as CUDA/OpenCL, MPI/OpenMP.
Problem-based Assignments/Project: There will be 3-4 assignments for project-based learning consisting of the following:
Implement and compare different cache coherence protocols using a simulator or a high-level, event-driven simulation interface such as SystemC
Programming massively parallel systems to solve computationally intensive problems such as password cracking using CUDA/OpenCL/MPI/OpenMP
Bereichseinordnung:
Studiendekanat Elektrotechnik, Informatik und Mathematik
ECTS-Kreditpunkte:
6
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Barthelme, J. (2022). Technisch-ökonomische Systemmodellierung und -anlayse eines urbanen Quatiers hinsichtlich des Einsatz von Wasserstoff als primärer Energieträger.