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The difficulty of a given course is evaluated by the amount of ECTS credits.
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The subject matter of a course is described in various texts.

NIE-MCC Multicore CPU Computing Extent of teaching: 2P+1C

Instructor: Šimeček I., Langr D. Completion: Z,ZK

Department: 18104 Credits: 5 Semester: Z

Annotation:
Students will get acquainted in detail with hardware support and programming technologies for the creation of parallel multithreaded computations on multicore processors with shared and virtually shared memory, which are today the most common computing nodes of powerful computer systems. Students will gain knowledge of architecturally specific optimization techniques used to reduce the decrease in computing power due to the widening performance gap between the computational requirements of multi-core CPUs and memory interface throughput. On specific non-trivial multithreaded programs, students will also learn the basics of the art of creating these applications.

Lecture syllabus:

1. Multiprocessor, multicore and multithreaded architectures.

2. - 3. (2) Sequence code optimization.

4. Models of relaxed consistency of shared memory.

5. Optimization of synchronization operations in multithreaded algorithms.

6. Memory allocators for parallel calculations.

7. 8. Shared memory, memory locations, shared and exclusive access, atomic operations.

9. Atomic operations.

10. Ordering of memory operations, memory models.

11. Spinlock, cache coherence, scalable memory allocators.

12. Threads and C++, thread pools.

Seminar syllabus:
In computer exercises, students solve problems related to lectures; the instructor provides consultations and advice.

Literature:

1. Solihin, Y. : Fundamentals of Parallel Multicore Architectures (1st Edition). Chapman & Hall/CRC Computational Science, 2015. ISBN 9781482211184.

2. Sorin, D. J. - Hill, M. D. - Wood, D. A. : A Primer on Memory Consistency and Cache Coherence. Morgan & Claypool Publishers, 2012. ISBN 1608455645.

3. Pllana, S. - Xhafa, F. (Eds) : Programming Multicore and Many-core Computing Systems. Wiley, 2017. ISBN 0470936908.

Requirements:
Basics of programming in C and C ++ (at the level of subjects BIE-PA1 and BIE-PA2), completion of the subject Parallel and Distributed Programming (MI-PDP). Recommended completion of the course Effective Programming in C ++ (NIE-EPC).

Informace o předmětu a výukové materiály naleznete na

The course is also part of the following Study plans:

Study Plan Study Branch/Specialization Role Recommended semester

NIE-PB.21 Computer Security 2021 V 3

NIE-SI.21 Software Engineering 2021 V 3

NIE-NPVS.21 Design and Programming of Embedded Systems 2021 V 3

NIE-TI.21 Computer Science 2021 VO 3

NIE-PSS.21 Computer Systems and Networks 2021 PS 3

Page updated 18. 4. 2024, semester: L/2020-1, L/2023-4, L/2019-20, Z/2021-2, L/2022-3, Z/2023-4, Z/2019-20, Z/2022-3, L/2021-2, Z/2024-5, Z/2020-1, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška

NIE-MCC	Multicore CPU Computing			Extent of teaching:	2P+1C
Instructor:	Šimeček I., Langr D.			Completion:	Z,ZK
Department:	18104	Credits:	5	Semester:	Z

1.		Multiprocessor, multicore and multithreaded architectures.
2.	-	3. (2) Sequence code optimization.
4.		Models of relaxed consistency of shared memory.
5.		Optimization of synchronization operations in multithreaded algorithms.
6.		Memory allocators for parallel calculations.
7.		8. Shared memory, memory locations, shared and exclusive access, atomic operations.
9.		Atomic operations.
10.		Ordering of memory operations, memory models.
11.		Spinlock, cache coherence, scalable memory allocators.
12.		Threads and C++, thread pools.

1.		Solihin, Y. : Fundamentals of Parallel Multicore Architectures (1st Edition). Chapman & Hall/CRC Computational Science, 2015. ISBN 9781482211184.
2.		Sorin, D. J. - Hill, M. D. - Wood, D. A. : A Primer on Memory Consistency and Cache Coherence. Morgan & Claypool Publishers, 2012. ISBN 1608455645.
3.		Pllana, S. - Xhafa, F. (Eds) : Programming Multicore and Many-core Computing Systems. Wiley, 2017. ISBN 0470936908.