In the past few decades, a number of user-level threading and tasking models have been
proposed in the literature to address the shortcomings of OS-level threads, primarily with …

Parallel programs consist of series of code sections with different thread-level parallelism
(TLP). As a result, it is rather common that a thread in a parallel program, such as a GPU …

OpenMP is widely used by a number of applications, computational libraries, and runtime
systems. As a result, multiple levels of the software stack use OpenMP independently of one …

Heterogeneous Computing Architectures: Challenges and Vision provides an updated
vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects …

OpenMP is a promising framework to develop parallel real-time software on multi-cores.
Although similar to the DAG task model, OpenMP task systems are significantly more difficult …

In this work we present a microbenchmark methodology for assessing the overheads
associated with nested parallelism in OpenMP. Our techniques are based on extensions to …

Data prefetching is an effective way to bridge the increasing performance gap between
processor and memory. As computing power is increasing much faster than memory …

Approaching the theoretical performance of hierarchical multicore machines requires a very
careful distribution of threads and data among the underlying non-uniform architecture in …

Several recent many-core accelerators have been architected as fabrics of tightly-coupled
shared memory clusters. A hierarchical interconnection system is used-with a crossbar-like …

OpenMP is the de facto standard application programming interface (API) for on-node
parallelism. The most popular OpenMP runtimes rely on POSIX threads (pthreads) …