The OpenMP tasking directives promise to help expose a higher degree of concurrency to
the runtime than traditional worksharing constructs, which is especially useful for irregular …

Shared memory parallel programming models strive to provide low-overhead execution
environments. Task-based programming models, in particular, are well-suited to cope with …

OpenMP, as the de-facto standard programming model in symmetric multiprocessing for
HPC, has seen its performance boosted continuously by the community, either through …

Recent years have seen the emergence of two independent programming models
challenging the traditional two-tier combination of message passing and thread-level work …

Although OpenMP is heavily used to parallelize for-loops, it also supports task-parallel
programming, which is important for parallelizing irregular applications. In this work, we …

Heterogeneous systems are becoming increasingly relevant, due to their performance and
energy efficiency capabilities, being present in all types of computing platforms, from …

Many high-performance computing applications reach millions of code lines and hundreds
of code regions. Analyzing all code regions for parallelization with OpenMP is neither …

OpenMP is becoming a more powerful environment for exploiting task-based parallelism.
Recent specification versions add support for new task clauses, while the OMPT interface …

High-Performance Computing (HPC) has become an important driver of progress across a
wide range of scientific and engineering disciplines, from Computational Fluid Dynamics …

Cpp-Taskflow ist eine neue Shared-Memory Parallelisierung API, die 2019 in dem
Paper'Cpp-Taskflow: Fast Task-based Parallel Programming using Modern C++'vorgestellt …