Gigascale Integration

(3-0-0-3)

CMPE Degree: This course is Not Applicable for the CMPE degree.

EE Degree: This course is Not Applicable for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Nanotechnology

Course Coordinator:

Prerequisites: ECE 3080

Corequisites: None.

Catalog Description

Hierarchy of physical principles that enable understanding and
estimation of future opportunities to achieve multibillion transistor
silicon chips using sub-0.25 micron technology.

Textbook(s)

Course Outcomes

Not Applicable

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( Not Applicable ) An ability to communicate effectively with a range of audiences

4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

1. Fundamental Limits:
a. Laws of thermodynamics
b. Uncertainty Principle
c. Speed of light
d. Quantum resistance
e. Quantum capacitance
f. Kinetic inductance
2. Material Limits:
a. Semiconductors,
b. Insulators
c. Conductors
d. Ferroelectrics
e. Ferromagnets
f. 1D and 2D materials
3. Device Limits:
a. Planar Si MOSFETs
b. FinFETs
c. Horizontal and Vertical FETs
d. Ballistic Transistors,
e. Ferroelectric Transistors
f. Spin Transfer Random Access Memory (STT-RAM)
g. Memristors
4. Circuit Limits:
a. Static transfer curve,
b. Switching energy
c. Propagation delay time of a binary logic circuit
d. Fault and defect tolerant circuit design,
e. Crossbar Circuits,
5. System Limits:
a. Wiring Demand
b. Critical Path Delay
c. Power Density
d. Heat removal
e. Novel computing paradigms (e.g. Deep neural networks, Near- or in-memory computing)