- Introduction
- steps of design process
- computational complexity
- Boolean algebra, Boolean functions - Data structures
- cubes
- Binary Decision Diagrams
- Boolean networks - Algorithms
- exact and heuristic two-level optimization
- multi-level optimization,
- Boolean and algebraic decomposition, graph dominators
- technology mapping - Non-traditional synthesis
- Galois field optimization
- Multiple-valued logic optimization
IL2209 Advanced Logic Design 7.5 credits
This course has been discontinued.
Last planned examination: Spring 2020
Decision to discontinue this course:
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
The aims of this course are:
- to gain knowledge of the data structures and algorithms used in modern logic synthesis tools
- to learn advanced techniques for logic circuit optimization
- to develop skills in evaluating different data structures for target applications
- to understand merits and limitations of logic synthesis.
Literature and preparations
Specific prerequisites
Recommended prerequisites
Basic understanding of circuits and digital logic, some background in algorithms and a programming background in C or C++.
Equipment
Literature
Recommended reading :
Ed. S. Hassoun and T. Sasao, "Logic Synthesis and Verification", Kluwer Academic Publishers, 2002, ISBN 0-7923-7606-4. G. De Micheli, "Synthesis and optimization of digital circuits", McGraw-Hill, 1994.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- INL1 - Assignments, 1.5 credits, grading scale: P, F
- PRO1 - Project, 1.5 credits, grading scale: P, F
- TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Project work (ANN1; 1,5hp)
Assignments(ANN2; 1,5hp)
Examination (TEN1; 4,5hp)
It is a 5 credit course with the final evaluation based on five homework assignments (theory, 20%), a project (programming, 30%) and a final exam (50%). For PhD students, an additional task will be to read and present a paper approved by the instructor (20 min talk).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Offered by
Main field of study
Education cycle
Add-on studies
Contact
Supplementary information
Course may be cancelled if too few students.