Current and future parallel programming models need to be portable and efficient when
moving to heterogeneous multi-core systems. OmpSs is a task-based programming model …

As performance and energy efficiency have become the main challenges for next-
generation high-performance computing, asymmetric multi-core architectures can provide …

Software testing is an important and valuable part of the software development life cycle.
Due to time, cost and other circumstances, exhaustive testing is not feasible that's why there …

The complexity of High Performance Computing (HPC) systems is increasing in the number
of components and their heterogeneity. Interactions between software and hardware involve …

Multi‐core architectures comprising several graphics processing units (GPUs) have become
mainstream in the field of high‐performance computing. However, obtaining the maximum …

Sampled simulation is a mature technique for reducing simulation time of single-threaded
programs, but it is not directly applicable to simulation of multi-threaded architectures …

GPU computing is at the forefront of high-performance computing, and it has greatly affected
current studies on parallel software and hardware design because of its massively parallel …

The performance of HPC applications is often bounded by the underlying memory system's
performance. The trend of increasing the number of cores on a chip imposes even higher …

The landscape of High Performance Computing (HPC) system architectures keeps
expanding with new technologies and increased complexity. With the goal of improving the …

The availability of many-core computing platforms enables a wide variety of technical
solutions for systems across the embedded, high-performance and cloud computing …