EECS 224
High-Performance Computing
Fundamentals of high-performance computing, covering both theory and practice. Topics include performance analysis and tuning, design of parallel and I/O efficient algorithms, basics of parallel machine architectures, and current/emerging programming models (shared memory, distributed memory, and accelerators).
Topics
- performance analysis and tuning
- design of parallel and I/O efficient algorithms
- basics of parallel machine architectures
- and current/emerging programming models (shared memory
- distributed memory
- and accelerators)
Topics explicitly listed in official catalogue description
Prerequisites & course information
Fundamentals of high-performance computing, covering both theory and practice. Topics include performance analysis and tuning, design of parallel and I/O efficient algorithms, basics of parallel machine architectures, and current/emerging programming models (shared memory, distributed memory, and accelerators).
Sources
- Course catalogue ↗2026-2027