Thomas Heller

According to our database1, Thomas Heller authored at least 14 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A taxonomy of task-based parallel programming technologies for high-performance computing.
The Journal of Supercomputing, 2018

Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX).
CoRR, 2018

The AllScale Runtime Application Model.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

Dependency-Aware Rollback and Checkpoint-Restart for Distributed Task-Based Runtimes.
CoRR, 2017

Closing the Performance Gap with Modern C++.
Proceedings of the High Performance Computing, 2016

The AllScale Runtime Interface - Theoretical Foundation and Concept.
Proceedings of the 9th Workshop on Many-Task Computing on Clouds, 2016

Evaluating Performance and Energy-Efficiency of a Parallel Signal Correlation Algorithm on Current Multi and Manycore Architectures.
Proceedings of the International Conference on Computational Science 2016, 2016

A Context-Aware Primitive for Nested Recursive Parallelism.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

Higher-level parallelization for local and distributed asynchronous task-based programming.
Proceedings of the First International Workshop on Extreme Scale Programming Models and Middleware, 2015

A Portable Petascale Framework for Efficient Particle Methods with Custom Interactions.
Proceedings of the 21st European MPI Users' Group Meeting, 2014

HPX: A Task Based Programming Model in a Global Address Space.
Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, 2014

Application of the ParalleX execution model to stencil-based problems.
Computer Science - R&D, 2013

Using HPX and LibGeoDecomp for scaling HPC applications on heterogeneous supercomputers.
Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2013

An auto-tuning approach for optimizing base operators for non-destructive testing applications on heterogeneous multi-core architectures.
Proceedings of the 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2013