This is a graduate level course on parallel computing with the objective to familiarize students with the fundamental concepts, techniques and tools of parallel computing. Preerquisites are an undergraduate course in parallel programming (equivalent of CS 475) and amiliarity with analysis of algorithms and complexity theory (equivalent of CS 320, or CS 420). Participation in this course will enable you to better use parallel computing in your application area, and will prepare you to take advanced courses in more specific areas of parallel computing. The schedule tab contains the weekly schedule, links to lecture notes, quizzes, homework, etc. In addition, the actual discussions will be taking place on the Piazza, which many of us have found to be much more convenient than RamCT.
In order to succeed in this course, the official prerequisites is CS 475. However, since this is a graduate class, and many students may have taken equivalent material in other underggraduate classes elsewhere, neither the registration system nor the instruction staff will enforce it. A second prerequisite is mathematical maturity, especially in analysis of algorithms and algorithmic complexity. At CSU this would be in the equivalent of a algorithms course like CS320. The first assignment is intended to be a review of prerequisites (it is due in week 3, which is after the add-drop deadline, but the first two weeks will give you ample opportunity to see if you cope with the material).
Introduction to Parallel Computing, 2nd Edition Ananth Grama, Anshul Gupta, George Karypis,Vipin Kumar, The Addison Wesley Publishing Company, ISBN 0-201-64865-2
The schedule tab of this web site indicates each week's reading. Students are responsible for doing the assigned reading prior to the lecture in which the material is to be covered.
Here are the formally graded elements of the course and associated weighting:
|Assignments (5)||30 %|
|Weekly discussions (online)||10 %|
|Midtermexam (in-class or take home, instructor's choice)||25%|
|Final Project+ Poster||25 %|
Semester grades are determined by the weighted sum of points earned in each of these areas. The standard grading cutoffs (70-8-90%) will be default for C, B and A grades respectively. However, a subjective curve (set by the instructor) may be used to map points onto grades. Typically, the curve is set such that the class mean gets an B, one standard deviation above the mean is an A, one deviation below is a C, and so forth.
Exams and projects will be done individually and grades assigned on an individual basis. Further, students not already familiar with the CSU Honor Pledge should review this clear and simple pledge and always adhere to it.
All students are expected to conduct themselves professionally. We (the instructor and the GTA) assume you are familiar with the policies in the student information sheet for the department. The guidelines outlined in these documents will be followed in this course. Additionally, you are computing professionals. You should be familiar with the code of conduct for the primary professional society, ACM. You can read the ACM Code of Conduct HERE.
We work to maintain an environment supportive of learning in the classroom and laboratory. Towards that end, we require that you be courteous to and respectful of your fellow participants (i.e., classmates, instructors, GTAs and any tutors). In particular:
Midterm and Finals: Make-up exams are only given for extraordinary circumstances (e.g., illness, family emergency). Students must consult with the instructor as soon as possible, preferably before the start of the exam. Course examination dates are listed in the syllabus; be aware of them and plan accordingly.
Assignments: All assignments are to be submitted electronically through the Checkin tab. Specifics will be included in each assignment. Always check the assignment page for due dates. No late assignments will be accepted. Electronic submission is closed at the deadline when the assignment is due; students not having submitted programs receive an automatic zero on the assignment.
Any in-class midterms and the final exam will be held in the same classroom as regular lectures. While no change to the midterm dates is anticipated, the instructor reserves the right to change these dates with a weeks notice.