Reconfigurable Computing

2022/2023

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.
  • Must know how to formulate own competences related to PBL.

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.
  • Can reflect over own use of PBL methods and how these methods can be used in the future projects and work situations

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 ยง 17.

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 assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRekonfigurerbare systemer
Module codeESNSPAK2P6
Module typeProject
Duration1 semester
SemesterSpring
ECTS20
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyThe Technical Faculty of IT and Design