Siegfried Benkner

About Siegfried Benkner

Siegfried Benkner, With an exceptional h-index of 34 and a recent h-index of 12 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Parallel Computing, High Performance Computing, Heterogeneous Computing, Programming Models, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Triangular Space-Filling Curve for Cache-Oblivious In-Place Transposition of Square Matrices

Experiences in architectural design and deployment of ehealth and environmental applications for cloud-edge continuum

The OCR-Vx experience: lessons learned from designing and implementing a task-based runtime system

Task-based performance portability in hpc

Task-Based Performance Portability in HPC: Maximising long-term investments in a fast evolving, complex and heterogeneous HPC landscape.

Matching Program Implementations and Heterogeneous Computing Systems

A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit

NUMA-aware CPU core allocation in cooperating dynamic applications

Siegfried Benkner Information

University

Position

Professor of Computer Science Austria

Citations(all)

3262

Citations(since 2020)

492

Cited By

3017

hIndex(all)

34

hIndex(since 2020)

12

i10Index(all)

79

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Siegfried Benkner Skills & Research Interests

Parallel Computing

High Performance Computing

Heterogeneous Computing

Programming Models

Cloud Computing

Top articles of Siegfried Benkner

Title

Journal

Author(s)

Publication Date

A Novel Triangular Space-Filling Curve for Cache-Oblivious In-Place Transposition of Square Matrices

João NF Alves

Luís MS Russo

Alexandre P Francisco

Siegfried Benkner

2023/5/15

Experiences in architectural design and deployment of ehealth and environmental applications for cloud-edge continuum

Atakan Aral

Antonio Esposito

Andrey Nagiyev

Siegfried Benkner

Beniamino Di Martino

...

2023/3/15

The OCR-Vx experience: lessons learned from designing and implementing a task-based runtime system

The Journal of Supercomputing

Jiri Dokulil

Siegfried Benkner

2022/7

Task-based performance portability in hpc

Olivier Aumage

Paul Carpenter

Siegfried Benkner

2021/10/6

Task-Based Performance Portability in HPC: Maximising long-term investments in a fast evolving, complex and heterogeneous HPC landscape.

Olivier Aumage

Paul Carpenter

Siegfried Benkner

2021

Matching Program Implementations and Heterogeneous Computing Systems

Martin Sandrieser

Siegfried Benkner

2021/12/17

A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit

Future Generation Computer Systems

Filip Petrovič

David Střelák

Jana Hozzová

Jaroslav Ol’ha

Richard Trembecký

...

2020/7/1

NUMA-aware CPU core allocation in cooperating dynamic applications

Jiri Dokulil

Siegfried Benkner

2020/5/18

Automatic placement of tasks to NUMA nodes in iterative applications

Jiri Dokulil

Siegfried Benkner

2020/3/11

Programming languages for data-intensive HPC applications: A systematic mapping study

Vasco Amaral

Beatriz Norberto

Miguel Goulão

Marco Aldinucci

Siegfried Benkner

...

2020/3/1

See List of Professors in Siegfried Benkner University(Universität Wien)