Parallel Computing, 5 cr

Tampere University

Description
Completion options

Teaching periods

Course code

COMP.CE.350

Language of instruction

English

Academic years

2024–2025, 2025–2026, 2026–2027

Level of study

Advanced studies

Grading scale

General scale, 0-5

Persons responsible

Responsible teacher:

Pekka Jääskeläinen

Responsible teacher:

Topi Leppänen

Responsible teacher:

Jakub Zadnik

Responsible organisation

Faculty of Information Technology and Communication Sciences 100 %

Coordinating organisation

Computing Sciences Studies 100 %

Sustainable development goals

Goal 9: Industry, Innovation and Infrastructure

Goal 12: Responsible Consumption and Production

Goal 13: Climate Action

Core content

Instruction-level parallelism, data-level parallelism, thread-level parallelism: How they appear in computers and how a programmer can utilize them for making software more efficient
Heterogeneous and homogeneous multicore platform programming
Effects of memory hierarchy to software performance

Complementary knowledge

Static and dynamic multi-issue
Vector, SIMD, and GPU architectures
Multithreading implementations
Data layout, data access types and cache optimizations

Specialist knowledge

Basics of compiler-driven parallelization

Learning outcomes

Prerequisites

Recommended prerequisites

Further information

Learning material

Equivalences

Studies that include this course

Completion option 1

The course can be passed by active participation to weekly exercises and completing the compulsory lab projects. The exam is voluntary in that case, but can be used to upgrade the grade.

Completion of all options is required.

Exam

Independent project (English)

01.08.2024 – 12.12.2024

Participation in teaching

Lectures (English)

01.08.2024 – 12.12.2024