Welcome to CSE 5304 / ECE 6095 - High-Performance Parallel Computing

Course Syllabus

Instructor

• Omer Khan
• Office: ITEB 447
• Email: khan@uconn.edu

Lectures

• Lecture 1: Why Study Parallel CPU and GPU Processors? - PDF
• Lecture 2: CPU and GPU Parallel Programming - PDF
• Lecture 3: CPU-GPU Memory System - PDF
• Lecture 4: Parallelism in Memory System - PDF
• Lecture 5: Parallelism with Efficiency I - PDF
• Lecture 6: Parallelism with Efficiency II - PDF
• Lecture 7: Synchronization and Memory Consistency Models - PDF
• Lecture 8: Memory Consistency and Coherence - PDF
• Lecture 9: Exploiting Parallelism with Specialization - PDF
• Lecture 10: Specialization to Accelerate Compute and Communication - PDF
• Lecture 11: Caches - PDF

Programming Assignments (due at HuskyCT specified deadline)

• All programming assignment code materials are provided at GitHub repository: https://github.com/cag-uconn/cse5304
• Lab 1a: SIMD Mandelbrot PDF (due via HuskyCT Feb 2, 2026, 8:59am EST)
• Lab 1b: Massively Parallel Mandelbrot PDF (due via HuskyCT Feb 9, 2026, 8:59am EST)
• Lab 2: Wave Simulation PDF (due via HuskyCT Feb 23, 2026, 8:59am EST)
• Lab 3: Matrix Multiply - Tiling and Reuse PDF (due via HuskyCT March 2, 2026, 8:59am EST)
• Lab 4: Matrix Multiply - Improved Scheduling PDF (due via HuskyCT March 9, 2026, 8:59am EST)
• Lab 5: Run-Length Compression PDF (due via HuskyCT March 30, 2026, 8:59am EST)
• Lab 6: Matrix Multiply - Tensor Cores PDF (due via HuskyCT April 6, 2026, 8:59am EST)
• PROJECT: Matrix Multiply with Hopper Architecture PDF (due via HuskyCT April 27, 2026, 8:59am EST)