COMPSCI 650 · also ECE 652
Advanced Computer Architecture II
Instructor not listed yet
Description from DukeHub
Parallel computer architecture design and evaluation. Design topics include parallel programming, message passing, shared memory, cache coherence, cache coherence, memory consistency models, symmetric multiprocessors, distributed shared memory, interconnection networks, and synchronization. Evaluation topics include modeling, simulation, and benchmarking. Prerequisite: Computer Science 550 or Electrical and Computer Engineering 552 or consent of instructor.
Skills
- programmingdepartment: COMPSCI
- data and statisticsdescription: "modeling" and 1 more
- financedescription: "evaluation" and 1 more
- designdescription: "design" and 1 more
AI-resilient: 0 of 5
- No: Physical, lab or field work
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in COMPSCI
- Introduction to Computer Science COMPSCI 101L
- Data Structures and Algorithms COMPSCI 201
- Introduction to Computer Systems COMPSCI 210D
- Everything Data COMPSCI 216
- Discrete Math for Computer Science COMPSCI 230
- Computer Architecture COMPSCI 250D