Nowadays, HPC systems frequently emerge as clusters of commodity processors with
attached accelerators. Moving from tedious low-level accelerator programming to increased …

Parallel systems that employ CPUs and GPUs as two heterogeneous computational units
have become immensely popular due to their ability to maximize performance under …

The community needs simpler mechanisms to access the performance available in
accelerators, such as GPUs, FPGAs, and APUs, due to their increasing use in state-of-the-art …

Accelerator-based heterogeneous computing is gaining momentum in the high-performance
computing arena. However, the increased complexity of heterogeneous architectures …

Sunway TaihuLight is China's recent top-ranked supercomputer worldwide that was the first
to be built entirely with home-grown processors. This supercomputer can be programmed …

Programming models like CUDA, OpenMP, OpenACC and OpenCL are designed to offload
compute-intensive workloads to accelerators efficiently. However, the naive offload model …

Scientific applications need to be moved among supercomputers, such as Tianhe-2 and
TSUBAME 2.5. OpenACC provides a directive-based approach for a single source code …

Accelerator-based heterogeneous computing is of paramount importance to High
Performance Computing. The increasing complexity of the cluster architectures requires …

Real-time simulations of smoke propagation during fires in complex geometries challenge
engineers, physicists, mathematicians and computer scientists due to the complexity of fluid …

Since near the very beginning of electronic computing, Monte Carlo particle transport has
been a fundamental approach for solving computational physics problems. Due to the high …