TDT01 is a specialization course focusing on specialized topics within computer architecture. This year's edition will focus on GPU, Microarchitecture, and Evaluation.
Course responsible: Magnus Själander and Magnus Jahre
Final test 2022
Date: TBD
Students 2022
TBD
If you are not on this list, but intend to follow TDT01 you need to contact Magnus J ASAP.
Meetings (Date, time, and venue)
Meeting 1: Startup meeting - TBD
Meeting 2: Discussion 1 - TBD (Topic: GPU)
Meeting 3: Discussion 2 - TBD (Topic: Microarchitecture)
Meeting 4: Discussion 3 - TBD (Topic: Evaluation)
Reading list (preliminary)
Note: To access the full versions of the papers from IEEE and ACM you need to have an NTNU IP address. If you are not on campus, try VPN or a terminal server.
GPU:
1. Get out of the valley: Power-efficient address mapping for GPUs (TBD)
2. HSM: A Hybrid Slowdown Model for Multitasking GPUs (TBD)
3. MDM: The GPU Memory Divergence Model (TBD)
Microarchitecture:
4. The load slice core microarchitecture (TBD)
5. Boomerang: a Metadata-Free Architecture for Control Flow Delivery (TBD)
6. Complexity-Effective Superscalar Processors (TBD)
Evaluation:
7. FireSim: FPGA-Accelerated Cycle-Exact Scale-OutSystem Simulation in the Public Cloud (TBD)
8. TIP: Time-Proportional Instruction Profiling (TBD)
9. Sniper: Exploring the level of abstraction for scalable and accurate parallel multi-core simulation (TBD)