ECE-565
PERFORMANCE OPTIMIZ & PARALLEL
Offered Fall 2026
Term
Overview
Feedback is mostly positive. The strongest signal is that students generally rate the course well. Best for students who are genuinely interested in the topic and willing to engage with the course on its own terms.
DepartmentELEC&CMP
Terms offeredFall
Typical enrollment23–29
Semesters of data3
6.1
Hrs / week
30
Responses
77
Enrollment
39%
Response Rate
Evaluation Scores
Overall quality
Teaching, content, and experience combined.
4.1
Intellectually stimulating
Challenges students to think deeply.
4.0
Instructor effectiveness
Explains concepts and facilitates learning.
4.3
Difficulty
Higher means harder.
3.3
Feedback Analysis
Feedback Analysishigh
Analysis based on student evaluations
Based on 44 comments across 3 sections
Feedback is mostly positive. The strongest signal is that students generally rate the course well. Best for students who are genuinely interested in the topic and willing to engage with the course on its own terms.
Student Reports
How hard is the A?
A is doable but not automatic
The signal here is more do-the-work-and-you-should-be-fine than easy-A chatter. Students do not describe the A as automatic, but the evidence also does not paint grading as punishing.
Homework Load
Heavy homework load
Homework load is one of the clearest friction points. Students repeatedly describe assignments, readings, or problem sets as time-consuming.
Lecture Load
Regular lecture load
Lectures matter here, but the evidence points to a fairly standard lecture burden rather than a course dominated by long or exceptionally dense lectures.
Strengths
• Instructor ratings are strong even when the comments do not cluster around one obvious positive theme.
Tradeoffs
• There is no single dominant complaint theme, but the feedback is not uniformly glowing either.
Best fit for
Best for students who are genuinely interested in the topic and willing to engage with the course on its own terms.
Watch out for
• A large share of the evidence comes from one instructor's version of the course, so this may not generalize cleanly.
Student Responses
parallel programming openMP thread management
Fall 2024 · Rogers, Brian
loop transformation, cache influence to code, multi-thread programming
Fall 2024 · Rogers, Brian
Data dependence analysis method. In the past, I only judge by intuition, which cannot solve complex situations. Loop optimization methods. In the past, I don't learn them in a systematic way. Memory consistency model. Very important things but I did not know. Make me clear about different level of parallelism. Very systematic, the logic flow is great.
Fall 2024 · Rogers, Brian
I learned how to understand code from a lower level perspective I learned how to optimize code execution time using multithreading I learned how to analyze the most time-consuming parts of the code
Fall 2024 · Rogers, Brian
- Loop transformations and code analysis for optimization - Basics of profiling code - Basics of shared memory programming
Fall 2024 · Rogers, Brian
Rating History
Rating history
Error bars show \u00B11 std dev
| Term | Instructor | Overall | Difficulty | Hrs/wk | Enrolled |
|---|---|---|---|---|---|
| Fall 2025 | Rogers, Brian 5.0Rate My ProfessorsQuality5.0Difficulty3.0Would retake100%Based on 2 ratingsClick to view on RMP → | — | — | 4.7 | 23 |
| Fall 2024 | Rogers, Brian 5.0Rate My ProfessorsQuality5.0Difficulty3.0Would retake100%Based on 2 ratingsClick to view on RMP → | 3.9 | 3.3 | 6.3 | 25 |
| Fall 2023 | Rogers, Brian 5.0Rate My ProfessorsQuality5.0Difficulty3.0Would retake100%Based on 2 ratingsClick to view on RMP → | 4.2 | 3.3 | 7.3 | 29 |
Instructor
Rogers, BrianELEC&CMP
Also teaches
ECE-568 ENGINEERING ROBUST SERVER SOFT4.0