|
Module Number INFO-4317a |
Module Title Advanced Computer Architecture |
Lecture Type(s) Lecture, Tutorial |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | In the winter semester | |
| Language of instruction | German and English | |
| Type of Exam | Oral exam (in case of a large number of students: written exam); succesful completion of exercises can be counted towards the exam grade |
|
| Content | This module deals with advanced aspects of computer architecture. Architectural concepts for improving performance by exploiting different levels of parallelism are discussed. Computer architecture concepts that can be used to exploit parallelism at different levels to improve performance are introduced. The module covers instruction-level parallelism such as superscalar execution and dynamic scheduling, speculative execution, advanced branch prediction, VLIW, and simultaneous multi-threading. It also covers modern parallel computing concepts, memory-coupled parallel computers, symmetric multiprocessors, distributed shared memory multiprocessors, multicore architectures, cache coherency protocols, performance evaluation of parallel computing systems, parallel programming models, network-on-chip architectures (topology, routing), heterogeneous system architectures and GPUs. -- Note: This module replaces the previously offered module "Parallel Computer Architectures" (https://modul.cs.uni-tuebingen.de/main/module/detail/144/). |
|
| Objectives | Students will have extended competences in the area of modern computer architectures with a focus on parallel computer architectures, interconnection networks and heterogeneous systems. They know the advantages and disadvantages of different parallel computer architectures and the challenges of programming such systems. Students will be able to apply appropriate programming concepts for parallel architectures. In the exercises, the participants will gain a further understanding of the complexity of parallel processes and the difficulties that arise from them. By working independently in small groups, students will develop their teamwork and leadership skills. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
4.0
ot
30
g
100
Tutorial
Ü
o
2
2.0
|
|
| Prerequisite for participation | INF3341 Introduction to Computer Architecture | |
| Lecturer / Other | Bringmann | |
| Literature | - J. L. Hennessy, D. A. Patterson: Computer Architecture: A Quantitative Approach, Morgan Kaufmann Publishers Inc, Elsevier, 6th edition, 2018. |
|
| Last offered | unknown | |
| Planned for | currently not planned | |
| Assigned Study Areas | INFO-INFO, INFO-TECH, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-MMT, ML-CS | |