Accerlerating linpack with CUDA on heterogenous clusters

This paper describes the use of CUDA to accelerate the Linpack benchmark on heterogeneous clusters, where both CPUs and GPUs are used in synergy with minor or no mod-ifications to the original source code. A host library inter-cepts the calls to DGEMM and DTRSM and executes them simultaneously on both GPUs and CPU cores. An 8U clus-ter is able to sustain more than a Teraflop using a CUDA accelerated version of HPL. 1