Reconfigurable Computing

2018/2019

Prerequisite/Recommended prerequisite for participation in the module

The module adds to the knowledge obtained in the 1st Semester.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Must have knowledge about methodologies applied for resource optimal mapping of Digital Signal Processing (DSP) algorithms onto application specific reconfigurable hardware/software (HW/SW) platforms.
  • Must have knowledge about analytical, numerical, experimental and simulation based methods for assessing selected cost function parameters typically associated with such real-time systems.

Skills

  • Must be able to apply analysis/design/implementation/test methods and -tools for the optimization of 1) performance and 2) resource usage when mapping DSP algorithms onto dedicated real-time HW and/or SW architectures.
  • Must be able to apply theories, methods, and techniques for analysis, design, implementation, and test of reconfigurable real-time hardware systems.
  • Must be able to evaluate, compare, and optimize the quality of selected parts of the overall system in terms of e.g., chip area, execution time, memory usage, energy consumption, and/or numerical properties.
  • Must be able to present, justify, and argue for the methodological, structural (system component related), and physical (technological) choices made when analyzing, designing, implementing, and testing reconfigurable and/or low energy DSP systems.
  • The student must be able to select the most appropriate tool(s) for solving the problem.

Competences

  • Using the above mentioned knowledge and skills, the student must be able to identify, prioritize, and apply in a structured manner the set of tasks needed for solving a DSP problem which in its solution naturally involves or require a reconfigurable real-time HW/SW platform.
  • The student must be able to create and plan the work and development processes as needed for solving systematically such a problem.
  • Must be able to initiate the above mentioned task independently, critically, and responsibly.

Type of instruction

As described in the introduction to Chapter 3.

Exam

Exams

Name of examReconfigurable Computing
Type of exam
Oral exam based on a project
ECTS20
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentAs stated in Joint Programme Regulations
http:/​/​www.en.tech.aau.dk/​education-programmes/​Education+and+Programmes/​

Facts about the module

Danish titleRekonfigurerbare systemer
Module codeESNSPAK2P2
Module typeProject
Duration1 semester
SemesterSpring
ECTS20
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
FacultyTechnical Faculty of IT and Design