Sep 6, 2016 · TargetDP can be combined with MPI to allow use on systems containing multiple nodes: we demonstrate this through provision of scaling results on ...

Nov 10, 2016 · Abstract. Leading HPC systems achieve their status through use of highly parallel devices such as NVIDIA GPUs or Intel Xeon.

TargetDP can be combined with Message Passing Interface (MPI) to allow use on systems containing multiple nodes: we demonstrate this through provision of ...

▫ Gray, Alan, and Kevin Strarord, A lightweight approach to performance portability with targetDP, The InternaRonal. Journal of High Performance CompuRng ...

Leading HPC systems achieve their status through use of highly parallel devices such as NVIDIA GPUs or Intel Xeon Phi many-core CPUs.

Leading high performance computing systems achieve their status through use of highly parallel devices such as NVIDIA graphics processing units or Intel Xeon ...

Fingerprint. Dive into the research topics of 'A Lightweight Approach to Performance Portability with targetDP'. Together they form a unique fingerprint.

Nov 19, 2022 · A Lightweight Approach to Performance Portability with targetDP. #1. Alan Gray(. Edinburgh U., EPCC. ) ,. Kevin Stratford(. Edinburgh U., EPCC. ).

Applications written using targetDP syntax are performance portable: the same source code can be compiled for different targets (where we currently support ...

A lightweight approach to performance portability with targetDP · A Cost-Efficient Container Orchestration Strategy in Kubernetes-Based Cloud Computing ...