Einführung in Modulares Supercomputing - WiSe 2024/25

Inhalte:

  • Scalable problems for scalable computing systems
  • From Accelerated to disaggregated supercomputing architectures
  • Amdahl’s Law and generalizations
  • From the Cluster-Booster Concept to a Modular Supercomputing Architecture (MSA)
  • Resource Optimization by MSA
  • The ParaStation Modular Software Architecture
  • Comprehensive Software Environment (co-scheduling, resource management, etc.)
  • Programming Models (inter-module MPI offloading, OmpSs abstraction layer, resiliency)
  • Virtualization by Network Attached Accelerators
  • Co-designing applications and workloads (e.g., neuroscience simulations, climate simulation, seismic imaging, data analytics in earth science)
  • Hardware implementations and prototypes
  • Exascale Supercomputing Technology
  • Interactive Supercomputing
  • Integrating Future Computing Technologies (Quantum Computers)

Lernergebnisse / Kompetenzziele:

The students will

  • understand the implications of Amdahl’s and Gustafson’s Laws on scalability;
  • learn the basics of the modular supercomputing architecture (MSA) from idea to production;
  • use the theoretical formulation of MSA for resource optimization in HPC;
  • understand MSA as a new paradigm for heterogeneous architectures in high performance computing (HPC);
  • be able to apply the MSA programming models;
  • understand the software environment needed to operate future supercomputing facilities;
  • meet various hardware implementations and prototype platforms.