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 current supercomputing architectures (NUMA), distributed memory and hybrid (distributed + shared memory) programming models, message-passing interface, threading, and massive parallelism with graphics processing units (GPUs).
Credits: 5
Schedule: 03.09.2024 - 29.11.2024
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.
Assessment Methods and Criteria
valid for whole curriculum period:
Assessment is based on the returned exercise codes, materials, attendance and exam. Coding exercises are graded in a supercomputing environment.
Workload
valid for whole curriculum period:
16 hours of contact teaching in a (flipped classroom) lecture format, 8 hours of self-study for the pre-recorded materials and example programs, 24 hours of contact teaching in coding sessions (6 sessions for tutorials on the example codes and supercomputer environment usage, 6 sessions for Q&A coding sessions for solving the exercises); 87 hours for independent work to solve the coding exercises.
DETAILS
Study Material
valid for whole curriculum period:
Pre-recorded lectures, lecture slides and notes, posters produced during group work, reading materials, example programs, coding exercises, example solutions to the exercises.
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: 2024-2025 Autumn I - II
2025-2026 Autumn I - II