GPU and Distributed Architecture Computing 2025-2026    1st Semester

Instructor:

Conf. Dr. Rareș Boian <rares at cs.ubbcluj.ro>

Syllabus

Online Communication and Collaboration

• Join the Microsoft Teams team with code h4z07ud
• For announcements watch:
  • Your university email @stud.ubbcluj.ro
  • Microsoft Teams General channel.
• The discussion forums will be in Microsoft Teams.

Graded Work

• Projects
  • GPU (G): GPU calculation of proof-of-work nonce
  • Threads/Actors (T): User-level threads and actors library
• Written exam (E)

Final grade calculation

• To get a final grade, all projects must be presented.
• Presentations will include in-depth questions about your solutions.
• Project delays result in a 1-point penalty per week.
• Penalties are calculated from the last Teams assignment solution upload, not including vacation weeks.
• Grade calculation formula:
  
  
  Grade = 1 + 0.3*G + 0.3*T + 0.3*E

Re-examination

• Present the projects not yet presented
• Grades will take into account the delay penalty above
• To improve a project grade, discuss extra work with the instructor

Weekly Schedule

Week	Lecture	Seminar	Projects
			G	T
1: Sep 29	Parallel architectures; GPU project kick-off	Project development
2: Oct 6	GPU architecture; parallel algorithm examples
3: Oct 13	Introduction to CUDA	Project development
4: Oct 20	Introduction to OpenCL
5: Oct 27	GPU work scheduling	Project development and grading
6: Nov 3	GPU memory usage optimizations
7: Nov 10	Synchronization, atomic operations, streams	Project development and grading
8: Nov 17	GPU project (F, N) optimization analysis
9: Nov 24	Distributed programming paradigms overview	Project development and grading
10: Dec 1 (Mon)	Functional and Clojure paradigms
11: Dec 8	Communicating sequential processes	Project development and grading
12: Dec 15	Actors and agents
- : Dec 22	Vacation
- : Dec 29	Vacation
13: Jan 5 (Tue,Wed)	Project grading	Project grading
14: Jan 12	Project grading