Die letzten Meldungen

Wartung IdM-Portal: abgeschlossen

14. Februar 2017

Am heutigen Dienstag, den 14.2.2017 von 14 bis 17 Uhr, werden einige IdM-Datenbanken aktualisiert.
Weiterlesen...

HPC cluster „LiMa“ unavailable (SOLVED)

11. Februar 2017

Due to a failure of the management/admin node, the LiMa cluster was unavailable from Saturday Feb. 11th approx. 11:10 until approx. 15:30.
Weiterlesen...

Wartung des Servers „FAUPRINT2“

10. Februar 2017

Sehr geehrte Damen und Herren,
Weiterlesen...

Meldungen nach Thema

 

NUMA Optimizations

General Remarks

This project aims at developing programming and optimization strategies to improve data placement on shared memory computers with non-uniform data access characteristics. This includes ccNUMA systems, but also multi-core processors that often have a complex hierarchical cache structure.

C++ programming techniques for High Performance Computing on systems with non-uniform memory access using OpenMP

Diploma thesis at the Externer Link:  Georg Simon Ohm University of Applied Sciences Nuremberg.

Author: Holger Stengel (now RRZE)

Supervisor: Georg Hager (HPC Services).

Abstract: This work develops programming methodologies for C++ that respect the need for optimal NUMA page placement in OpenMP code. An overloaded new[] operator is presented that guarantees proper placement for arrays of objects. Along the same lines, the STL vector<> class can be endowed with an allocator class argument that serves the same purpose. The disadvantages of std::vector<> in terms of performance and usability in a NUMA setting are circumvented by developing a special numa_vector<> container which is compatible with all STL algorithms. Finally, a container with a segmented, padded data structure, including appropriate iterators, allows one to make generic algorithms aware of data segmentation of any kind (including NUMA) without sacrificing performance.

Downloads: PDF: Poster (English), PDF: Thesis (in German).

Contact

Project manager:

  • Dr. Georg Hager
    Regionales Rechenzentrum Erlangen
    HPC Services
    Martensstr. 1
    91058 Erlangen
    +49 (0)9131 85 28973
    georg.hager@rrze.fau.de

Letzte Änderung: 13. Maerz 2012, Historie

zum Seitenanfang

Startseite | Kontakt | Impressum

RRZE - Regionales RechenZentrum Erlangen, Martensstraße 1, D-91058 Erlangen | Tel.: +49 9131 8527031 | Fax: +49 9131 302941

Zielgruppennavigation

  1. Studierende
  2. Beschäftigte
  3. Einrichtungen
  4. IT-Beauftragte
  5. Presse & Öffentlichkeit