392016 Übungen zu SIMD High-Performance Computing in C (Ü) (SoSe 2024)

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Modern CPUs provide SIMD (single instruction, multiple data) vector instructions which simultaneously apply the same operation to multiple elements. Peak performance of single CPU cores can often only be reached if vector instructions are used. Vector instructions are automatically generated by compilers, but this approach has its limits. To fully exploit the SIMD capabilities, vector instructions can directly be used in the C programming language through "intrinsics" or through libraries based on intrinsics. The lecture explains how vector intrinsics available for the Intel vector extensions (SSE, AVX, AVX-512) can be used to parallelize C programs.

The course comprises a lecture (on-site) and exercises (on-site). In the exercises, students apply their knowledge in programming projects (C) and present their results.

Die Veranstaltung umfasst eine Vorlesung (Präsenz) und Übungen (Präsenz). In den Übungen wenden die Studierenden ihr Wissen in Programmier-Projekten (C) an und stellen ihre Ergebnisse vor.

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Module Course Requirements  
39-Inf-WP-APDC Advanced Parallel and Distributed Computing (Basis) Begleitende Übungen Student information
39-Inf-WP-APDC-x Advanced Parallel and Distributed Computing (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
Übung zum zweiten Thema Student information
39-Inf-WP-CD Computing Devices (Basis) Begleitende Übungen Student information
39-Inf-WP-CD-x Computing Devices (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
Übung zum zweiten Thema Student information
39-Inf-WP-SSC Scientific and Soft-Computing (Basis) Begleitende Übungen Student information
39-Inf-WP-SSC-x Scientific and Soft-Computing (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
Übung zum zweiten Thema Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


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Registered number: 12
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Address:
SS2024_392016@ekvv.uni-bielefeld.de
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12 Students to be reached directly via email
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Last update basic details/teaching staff:
Monday, January 29, 2024 
Last update times:
Monday, January 15, 2024 
Last update rooms:
Monday, January 15, 2024 
Type(s) / SWS (hours per week per semester)
Ü / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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454045711