Johannes Seiferth

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Methods Can Be Applied

Temporal Difference

Computationally Expensive

Top Venues

Publications

Oliver Hacker, Matthias Korch, Johannes Seiferth
A Motivating Case Study on Code Variant Selection by Reinforcement Learning. ISC (2022)
Christie L. Alappat, Johannes Seiferth, Georg Hager, Matthias Korch, Thomas Rauber, Gerhard Wellein
YaskSite: Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures. CGO (2021)
Johannes Seiferth, Matthias Korch, Thomas Rauber
Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. ISC (2020)
Johannes Seiferth, Matthias Korch, Thomas Rauber
Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods. CoRR (2020)
Markus Scherg, Johannes Seiferth, Matthias Korch, Thomas Rauber
Performance Prediction of Explicit ODE Methods on Multi-Core Cluster Systems. ICPE (2019)
Johannes Seiferth, Christie L. Alappat, Matthias Korch, Thomas Rauber
Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors. ISC (2018)