Effective Software

The course cannot be taken simultaneously with:

Open-source programming (A4M35OSP)
Effective Software (BE4M36ESW)

The course is a substitute for:

Open-source programming (A4M35OSP)

Garant předmětu:

David Šišlák

Lecturer:

Michal Sojka, David Šišlák

Tutor:

Marek Cuchý, Joel Matějka, Michal Sojka, David Šišlák, Jiří Vlasák

Supervisor:

Department of Computer Science

Synopsis:

Within the course of Efficient software you will get familiar with the area of software and algorithm optimization under limited resources. The course is focused on the efficient usage of modern hardware architectures - multi-core and multi-processor systems with shared memory. Students will practically implmenet and use presented techniques in C and Java. Main topics are: code optimization, effective data structures and processor cache usage, data structures in multi-threaded applications and implementation of efficient network servers.

Requirements:

background knowledge in area of Computer architecture, C and Java programming languages

Syllabus of lectures:

1. Introduction, modern computer architecture, compiler, profiling

2. Virtual machine, byte-code, (de-)compilers, disassembler, profiling

3. Benchmarking, measurements, statistics

4. Scalable synchronization

5. Data races, synchronization, atomic operations, non-blocking algorithms

6. Non-blocking I/O, C10K, efficient networking

7. Data structure serialization

8. Memory, caches, allocators

9. JVM - Memory analysis, data structures, collections for performance

10. JVM - Object allocation, bloom filters, references, effective caching

11. Memory Management in JVM - Memory Layout, Garbage Collectors

12. Virtualization (IOMMU, SR-IOV, PCI pass-through, virtio, .)

13. C program compilation and execution

Syllabus of tutorials:

Study Objective:

Study materials:

[1] MIT: Performance-engineering-of-software-systems

[2] Oaks, S.: Java Performance: 2nd Edition. O'Reilly, USA 2020.

[3] Jones, R., Hosking, A., Moss, E.: The Garbage Collection Handbook - The Art of Automatic Memory Management. CRC Press, USA 2012.

[4] Herlihy, M., Shavit, N.: The Art of Multiprocessor Programming. Morgan Kaufman, 2008.

[5] Fog, A.: The microarchitecture of Intel, AMD and VIA CPU, 2016.

[6] Drepper U.: What every programmer should know about memory, 2007

[7] Jain, R.: The Art of Computer Systems Performance Evaluation. Wiley, New York 1991. (slides, book)

[8] Lilja, D. J.: Measuring Computer Performance: A Practitioner?s Guide. Cambridge University Press, 2000. (book web site, Supplemental Teaching Materials)

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/b4m36esw/start

Time-table for winter semester 2022/2023:

Time-table is not available yet

Time-table for summer semester 2022/2023:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKN:E-301 Šišlák D. Sojka M. 12:45–14:15 (lecture parallel1) Karlovo nám. Šrámkova posluchárna K9roomKN:E-307 Vlasák J. Cuchý M. 14:30–16:00 (lecture parallel1 parallel nr.101) Karlovo nám. HW-lab K307roomKN:E-307 Vlasák J. Cuchý M. 16:15–17:45 (lecture parallel1 parallel nr.102) Karlovo nám. HW-lab K307roomKN:E-307 Vlasák J. Cuchý M. 18:00–19:30 (lecture parallel1 parallel nr.103) Karlovo nám. HW-lab K307
Tue
Wed
Thu
Fri

The course is a part of the following study plans:

• Open Informatics - Computer Engineering (compulsory course of the specialization)
• Open Informatics - Software Engineering (compulsory course of the specialization)