Aggregated HPC resources have rigid allocation systems and programming models which
struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to …

MPI+ X is the most popular hybrid programming model for distributed computation on
modern heterogeneous HPC systems. Nonetheless, for simplicity, HPC developers ideally …

In contemporary high-performance computing architectures, the integration of GPU
accelerators has become increasingly prevalent. To harness the full potential of these …

Accelerated computing is widely used in high-performance computing. Therefore, it is crucial
to experiment and discover how to better utilize GPUGPUs latest generations on relevant …

GPGPUs are widely used in high-performance computing. Therefore, it is crucial to
experiment and discover how to better utilize their latest generations of relevant …

MPI+ X has been the de facto standard for distributed memory parallel programming. It is
widely used primarily as an explicit two-sided communication model, which often leads to …

Stencil calculations are a widely-used computing pattern, and tracking the performance of
such computing pattern on modern GPGPUs is of interest to the computational community. In …

In this work, we present an efficient mechanism which allows unmodified OpenMP
applications to leverage the computational resources of any node in a cluster through the …

Complex particle tracking software used in High Energy Physics experiments already
pushes the edges of computing resources with demanding requirements for speed and …

This dissertation explores the state-of-the-art in task-based programming. One of the main
motivating examples is Reverse Time Migration (RTM), a seismic imaging technique …