Subject Area | Computer Hardware and Architecture |
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Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses |
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Course Site | https://courses.e-ce.uth.gr/ECE444/ |
Course Director |
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Course Instructor |
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Scientific Responsible |
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Title | MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum |
Duration | 2023 – 2025 |
Site | https://csl.e-ce.uth.gr/projects/mlsysops |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967, +30 24210 74934 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74933 |
PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
Subject Area | Computer Hardware and Architecture |
---|---|
Semester | Semester 8 – Spring |
Type | Elective |
Teaching Hours | 4 |
ECTS | 6 |
Recommended Courses |
|
Course Site | https://courses.e-ce.uth.gr/ECE444/ |
Course Director |
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Course Instructor |
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The goals of HY4xx include gaining understanding, insight and familiarization with state-of-the-art EDA (Electronic Design Automation) Physical Design Algorithms, and automated flows for the physical realization of a synthesized netlist.
The course focuses on the automatic, standard-cell physical layout design for ASIC designs, and related algorithms for (1) Circuit Partitioning, (2) Floorplanning, (3) Placement, (4) Routing and (5) Clock tree design. The course presents a set of both exact and heuristic algorithms similar to those implemented in commercial tools.
Upon successful completion of the course, students will be accustomed with the following concepts and skill sets: