CSE 5441
Transcript Abbreviation:
Intr Parallel Comp
Course Description:
Parallel programming models; sequential and parallel performance issues; high-performance computer architecture; design, analysis, implementation and performance evaluation of parallel algorithms.
Course Levels:
Undergraduate (1000-5000 level)
Graduate (5000-8000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 2231, 2321, and 2421; or 2231, 2321, and 3430; or 2231, 2321, 2451, and ECE 2560; or Grad standing.
Electronically Enforced:
No
Exclusions:
(N/A)
Course Goals / Objectives:
Be competent with the fundamental factors affecting the performance of sequential programs
Be competent with program transformations to enhance data locality and improve performance
Be familiar with the prevalent parallel programming models
Be familiar with design, implementation and analysis performance analysis of parallel programs
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Fundamental performance issues | 1.5 | 0.0 | 0 | 0.0 | 0 |
| Cache and its impact on performance | 4.5 | 0.0 | 0 | 0.0 | 0 |
| Loop Transformations for performance enhancement | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Data dependence analysis | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Overview of parallel architectures and programming models | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Shared-memory parallel programming | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Message passing | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Programming GPUs | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Programming for high performance with short-vector SIMD instruction sets | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 39 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Assignments | 40% |
| Midterm exam | 25% |
| Final exam | 35% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| No Textbooks and Other Course Materials Entered. | ||
ABET-CAC Criterion 3 Outcomes:
| Substantial contribution (3-6 hours) | 1 | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| Significant contribution (7+ hours) | 2 | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| Some contribution (1-2 hours) | 3 | Communicate effectively in a variety of professional contexts. |
| Some contribution (1-2 hours) | 4 | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| Substantial contribution (3-6 hours) | 6 | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Substantial contribution (3-6 hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| Significant contribution (7+ hours) | 2 | 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 |
| Some contribution (1-2 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| Some contribution (1-2 hours) | 4 | 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 |
| Significant contribution (7+ hours) | 6 | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
| Substantial contribution (3-6 hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info: