Reconfigurable and Low Energy Systems

2022/2023

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • Representation of Digital Signal Processing (DSP) algorithms
  • Cost functions, models of computation and complexity
  • Iteration bounds
  • Pipelining and retiming
  • Folding and unfolding
  • Scheduling and allocation
  • Data path, control path, Finite State Machine with Data path (FSMD)
  • Functional unit arithmetic
  • Low power design methods

Skills

  • Must be able to apply advanced terms, concepts, and methods, in the context of time-, area-, or energy optimal/constrained mapping of DSP algorithms onto real-time HW/SW architectures.

Competences

  • The student must be able to apply the proper terminology in oral and written communication and documentation within the scientific domains of DSP algorithms, and application specific HW/SW architectures.

Type of instruction

As described in ยง 17.

Exam

Exams

Name of examReconfigurable and Low Energy Systems
Type of exam
Written or oral exam
ECTS5
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRekonfigurerbare systemer og energi-minimale systemer
Module codeESNSPAK2K1
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
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