Matthias Korch

发表

Implementation and Optimization of a 1D2V PIC Method for Nonlinear Kinetic Models on GPUs

Matthias Korch, Philipp Raithel, Tim Werner, 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

Locality Optimized Shared-Memory Implementations of Iterated Runge-Kutta Methods

Thomas Rauber, Matthias Korch, T. Rauber, 2007, Euro-Par.

Offsite Autotuning Approach - Performance Model Driven Autotuning Applied to Parallel Explicit ODE Methods pdf

Thomas Rauber, Matthias Korch, Johannes Seiferth, 2020, ArXiv.

A comparison of task pools for dynamic load balancing of irregular algorithms

Thomas Rauber, Matthias Korch, T. Rauber, 2004, Concurr. Comput. Pract. Exp..

Mixed-Parallel Implementations of Extrapolation Methods with Reduced Synchronization Overhead for Large Shared-Memory Computers

Thomas Rauber, Matthias Korch, Carsten Scholtes, 2010, 2010 IEEE 16th International Conference on Parallel and Distributed Systems.

Applicability of dynamic selection of implementation variants of sequential iterated Runge-Kutta methods

Matthias Korch, Natalia Kalinnik, Thomas Rauber, 2010, 2010 IEEE International Conference On Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS).

Influence of locality on the scalability of method- and system-parallel explicit peer methods

Thomas Rauber, Matthias Korch, Tim Werner, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Scalability and locality of extrapolation methods on large parallel systems

Thomas Rauber, Matthias Korch, Carsten Scholtes, 2011, Concurr. Comput. Pract. Exp..

Performance optimization of RK methods using block-based pipelining

Thomas Rauber, Gudula Rünger, Matthias Korch, 2004 .

Improving locality of explicit one-step methods on GPUs by tiling across stages and time steps

Matthias Korch, Tim Werner, Tim Werner, 2020, Future Gener. Comput. Syst..

Using hardware operations to reduce the synchronization overhead of task pools

Thomas Rauber, Matthias Korch, Ralf Hoffmann, 2004 .

Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors

Thomas Rauber, Matthias Korch, Johannes Seiferth, 2018, ISC.

Offsite Autotuning Approach

Thomas Rauber, Matthias Korch, Johannes Seiferth, 2020, ISC.

Optimizing locality and scalability of embedded Runge-Kutta solvers using block-based pipelining

Thomas Rauber, Matthias Korch, T. Rauber, 2006, J. Parallel Distributed Comput..

Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUs

Matthias Korch, Tim Werner, Tim Werner, 2019, PPAM.

Exploiting Limited Access Distance for Kernel Fusion Across the Stages of Explicit One-Step Methods on GPUs

Matthias Korch, Tim Werner, Tim Werner, 2018, 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

Storage space reduction for the solution of systems of ordinary differential equations by pipelining and overlapping of vectors

Thomas Rauber, Matthias Korch, T. Rauber, 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

Einsatz von Taskpools in Pthreads und Java zur parallelen Implementierung irregulärer Algorithmen

Matthias Korch, 2001 .

Online auto-tuning for the time-step-based parallel solution of ODEs on shared-memory systems

Thomas Rauber, Matthias Korch, Natalia Kalinnik, 2014, J. Parallel Distributed Comput..

An efficient time-step-based self-adaptive algorithm for predictor-corrector methods of Runge-Kutta type

Thomas Rauber, Matthias Korch, Natalia Kalinnik, 2011, J. Comput. Appl. Math..

Memory-Intensive Applications on a Many-Core Processor

Thomas Rauber, Matthias Korch, Carsten Scholtes, 2011, 2011 IEEE International Conference on High Performance Computing and Communications.

Comparison of Parallel Implementations of Runge-Kutta Solvers: Message Passing vs. Threads

Thomas Rauber, Matthias Korch, T. Rauber, 2003, PARCO.

Look-up Table Design for Deep Sub-threshold through Full-Supply Operation

Thomas Rauber, Matthias Korch, Natalia Kalinnik, 2013, FCCM 2013.

A comparison of task pools for dynamic load balancing of irregular algorithms: Research Articles

Thomas Rauber, Matthias Korch, 2003 .

Evaluation of task pools for the implementation of parallel irregular algorithms

Thomas Rauber, Matthias Korch, 2002, Proceedings. International Conference on Parallel Processing Workshop.

Transformation of Legacy Software into Client/Server Applications through Pattern-Based Rearchitecturing

Thomas Rauber, Gudula Rünger, Matthias Korch, 2008, 2008 32nd Annual IEEE International Computer Software and Applications Conference.

Performance Evaluation of Task Pools Based on Hardware Synchronization

Thomas Rauber, Matthias Korch, Ralf Hoffmann, 2004, Proceedings of the ACM/IEEE SC2004 Conference.

Parallelization of Particle-in-Cell Codes for Nonlinear Kinetic Models from Mathematical Physics

Matthias Korch, Gerhard Rein, Tobias Ramming, 2013, 2013 42nd International Conference on Parallel Processing.

Parallel Implementation of Runge-Kutta Integrators with Low Storage Requirements

Thomas Rauber, Matthias Korch, T. Rauber, 2009, Euro-Par.

Scalability of Time- and Space-Efficient Embedded Runge-Kutta Solvers for Distributed Address Space

Thomas Rauber, Matthias Korch, T. Rauber, 2009, 2009 International Conference on Parallel Processing.

Eingebettete Runge-Kutta-Verfahren für parallele Rechnersysteme: effiziente Implementierung durch Ausnutzung der Speicherzugriffslokalität

Matthias Korch, 2008 .

Diamond-Like Tiling Schemes for Efficient Explicit Euler on GPUs

Matthias Korch, Carsten Scholtes, Julien Kulbe, 2012, 2012 11th International Symposium on Parallel and Distributed Computing.

Using hardware operations to reduce the synchronization overhead of task pools

Thomas Rauber, Matthias Korch, Ralf Hoffmann, 2004, International Conference on Parallel Processing, 2004. ICPP 2004..

Abstract only: dynamic selection of implementation variants of sequential iterated runge-kutta methods with tile size sampling

Thomas Rauber, Matthias Korch, Natalia Kalinnik, 2011, ICPE 2011.

Exploiting limited access distance of ODE systems for parallelism and locality in explicit methods

Matthias Korch, Matthias Korch, 2012 .

Applicability of Load Balancing Strategies to Data-Parallel Embedded Runge-Kutta Integrators

Thomas Rauber, Matthias Korch, T. Rauber, 2006, Euro-Par.

Effiziente Implementierung eingebetteter Runge-Kutta-Verfahren durch Ausnutzung der Speicherzugriffslokalität

Matthias Korch, 2006 .

Accelerating explicit ODE methods on GPUs by kernel fusion

Matthias Korch, Tim Werner, Tim Werner, 2018, Concurr. Comput. Pract. Exp..

Performance Prediction of Explicit ODE Methods on Multi-Core Cluster Systems

Thomas Rauber, Matthias Korch, Johannes Seiferth, 2019, ICPE.

Scalability and Locality of Extrapolation Methods for Distributed-Memory Architectures

Thomas Rauber, Matthias Korch, Carsten Scholtes, 2010, Euro-Par.

Scalable Parallel RK Solvers for ODEs Derived by the Method of Lines

Thomas Rauber, Matthias Korch, T. Rauber, 2003, Euro-Par.

Simulation-Based Analysis of Parallel Runge-Kutta Solvers

Thomas Rauber, Matthias Korch, T. Rauber, 2004, PARA.

An in‐depth introduction of multi‐workgroup tiling for improving the locality of explicit one‐step methods for ODE systems with limited access distance on GPUs

Matthias Korch, Tim Werner, Tim Werner, 2020, Concurr. Comput. Pract. Exp..

MAP: Mobile Assistance Platform with a VM Type Selection Ability

Thomas Rauber, Matthias Korch, Natalia Kalinnik, 2013, 2013 International Conference on Parallel and Distributed Systems.

Locality Improvement of Data-Parallel Adams-Bashforth Methods through Block-Based Pipelining of Time Steps

Matthias Korch, Matthias Korch, 2012, Euro-Par.

Pipelining for Locality Improvement in RK Methods

Thomas Rauber, Gudula Rünger, Matthias Korch, 2002, Euro-Par.

Towards Scalable Parallel Numerical Algorithms and Dynamic Load Balancing Strategies

Thomas Rauber, Matthias Korch, Sascha Hunold, 2009 .

Inkrementelle Transformation einer monolithischen Geschäftssoftware

Thomas Rauber, Gudula Rünger, Matthias Korch, 2008, Software Engineering.

Parallel Low-Storage Runge—Kutta Solvers for ODE Systems with Limited Access Distance

Thomas Rauber, Matthias Korch, T. Rauber, 2011, Int. J. High Perform. Comput. Appl..

YaskSite: Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures

Thomas Rauber, Matthias Korch, Gerhard Wellein, 2021, 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO).