Special Issue on Automatic Application Tuning for HPC Architectures | Zendy

Siegfried Benkner | Zendy; Franz Franchetti | Zendy; Hans Michael Gerndt | Zendy; Jeffrey K. Hollingsworth | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Special Issue on Automatic Application Tuning for HPC Architectures

Author(s) -

Siegfried Benkner,

Franz Franchetti,

Hans Michael Gerndt,

Jeffrey K. Hollingsworth

Publication year - 2014

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2014/208480

Subject(s) - computer science , field (mathematics) , supercomputer , performance tuning , computer architecture , systems engineering , data science , artificial intelligence , operating system , engineering , mathematics , pure mathematics

High Performance Computing architectures have become incredibly complex and exploiting their full potential is becoming more and more challenging. As a consequence, automatic performance tuning (autotuning) of HPC applications is of growing interest and many research groups around the world are currently involved. Autotuning is still a rapidly evolving research field with many different approaches being taken. This special issue features selected papers presented at the Dagstuhl seminar on “Automatic Application Tuning for HPC Architectures” in October 2013, which brought together researchers from the areas of autotuning and performance analysis in order to exchange ideas and steer future collaborations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research