LEARNING OUTCOMES
The topic of this course is high-performance computing (HPC), namely heavy-duty computing on clusters or supercomputers with thousand(s) to million(s) of cores. You will learn about the main HPC architectures (tightly versus loosely coupled architectures), distributed memory and hybrid (distributed + shared memory) programming models, message-passing interface, threading, and massive parallelism with graphics processing units (GPUs).
Credits: 5
Schedule: 25.10.2022 - 02.12.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Maarit Korpi-Lagg
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Introduction to the current HPC landscape and supercomputing architectures; Introduction/Recap to different parallel programming models and parallel program design; Deeper dive into theory and practise of distributed memory and hybrid computing models; Message passing interface, from basics to advanced topics; Hybrid computing with MPI + openMP; Hybrid computing with GPUs with MPI + CUDA; Parallel I/O.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
12 Responsible Production and Consumption
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Autumn II
2023-2024 Autumn II
- Opettaja: Korpi-Lagg Maarit