Recent recorded grades — Fall 2024: 3.99 GPA, 100.0% A/AB (n=69 letter grades); Spring 2025: 3.98 GPA, 100.0% A/AB (n=112 letter grades).
High Performance Computing for Applications in Engineering
Covers hardware and software solutions for advanced computing in engineering, with hands-on parallel programming assignments.
Summary
Historical reviews of Dan Negrut: Reviewers note the class involves significant work, particularly weekly programming assignments, but consider them doable with effort.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews of Dan Negrut: Tsung-Wei Huang is the current instructor, but all provided reviews describe Dan Negrut. Negrut is praised for his engaging lectures, deep knowledge of parallel computing, and lenient grading. Reviewers highlight his care for students and well-designed assignments.
DAN NEGRUT is recorded teaching in Fall 2013, Fall 2015, Fall 2017, Spring 2019, Spring 2020, Fall 2022, Fall 2023, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
TSUNG-WEI HUANG is recorded teaching in Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 55 / 110 | 6 |
| LEC 001 | Classroom Instruction | 54 / 130 | 1 |
| LEC 001 | Classroom Instruction | 1 / 110 | 0 |
| LEC 001 | Classroom Instruction | 5 / 110 | 0 |
| LEC 001 | Classroom Instruction | 4 / 110 | 1 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews for Dan Negrut describe a well-made curriculum focused on High Performance Computing with CUDA and OpenMP, offering a great learning experience.
Recent recorded grades — Fall 2024: 3.99 GPA, 100.0% A/AB (n=69 letter grades); Spring 2025: 3.98 GPA, 100.0% A/AB (n=112 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=102 letter grades).
difficulty & workload
Historical reviews of Dan Negrut: Reviewers note the class involves significant work, particularly weekly programming assignments, but consider them doable with effort.
Historical reviews of Dan Negrut: Students value the well-designed lectures and homework, noting the availability of recordings and opportunities to explore parallel computing in the final project.
Topics
Skills
Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
High Performance Computing for Applications in Engineering
Recorded 2026-09-07High Performance Computing for Applications in Engineering
Recorded 2026-09-07High Performance Computing for Applications in Engineering
Recorded 2026-09-07High Performance Computing for Applications in Engineering
Recorded 2026-09-07High Performance Computing for Applications in Engineering
Recorded 2026-09-07Raw records
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]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "71ad01e1772a5dc2d550a582317fe78ccaee20c37738e54a5484648f6ab85df7",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}