|
Lecturer(s)
|
-
Novák Václav, Ing. CSc.
-
Bukovský Ivo, doc. Ing. Ph.D.
-
Budík Ondřej, Ing.
|
|
Course content
|
1. Basic characteristics and trends of computer architecture for AI 2. Possibilities and limitations of large language models (LLM) 3. Differences between CPU, GPU, TPU and FPGA 4. Differences of DDR, GDDR, HBM. What is CUDA and ROCm. 5. Data preparation for neural networks. The difference between HDD, SSD, SATA, NVMe 6. Types of neural architectures and SW tools 7. Principles of neural network learning 8. What is optimizer, scheduler, precision and loss 9. Metrics in neural networks (MSE, MAE, RMSE, mIoU, ) 10. Edge deployment options for AI
|
|
Learning activities and teaching methods
|
Monologic (reading, lecture, briefing), Laboratory
- Preparation for exam
- 20 hours per semester
- Preparation for classes
- 100 hours per semester
- Preparation for credit
- 30 hours per semester
|
|
Learning outcomes
|
To introduce students to computer architectures for artificial intelligence computing. Differences between CPU, GPU,TPU and FPGA. What is CUDA and ROCm. Practical introduction to the principles of learning of neural networks. Deployment options on Edge devices.
|
|
Prerequisites
|
- (UAI/698) Architektura počítačů I - (UMB/564) Matematická analýza I. - (UAI/693) Softwarové modelování
UAI/698
|
|
Assessment methods and criteria
|
Oral examination, Written examination, Student performance assessment, Test, Interim evaluation
Active participation in exercise. Elaboration and presentation of an independent work. Detailed rules for completing the subject are always listed on moodle (e-learning) for the given academic year.
|
|
Recommended literature
|
-
Ashenden, P. J. The Designer's guide to VHDL. Morgan Kaufmann 2008. Německo, 2008. ISBN 978-0-12-088785-9.
-
Hennessy John:. Computer Architecture. Chippenham, UK, 2016. ISBN 978-0-12-383872-8.
-
HORÁK, J.:. Hardware - učebnice pro pokročilé. Computer Press, 2001..
-
Jim Ledin. Modern Computer Architecture and Organization. Packt Publishing, 2020. ISBN 978-1838984397.
|