—Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster… (More)
—NVIDIA GPUs are becoming increasingly popular in scientific computation as a way to accelerate the execution of computationally demanding codes. The graphics memory used in GPUs is not protected against soft errors that may be caused by cosmic radiation and thus is a source of concern for the scientific computing community. In this short paper we report on… (More)
—We present a CUDA C implementation of the Conjugate Gradient (CG) and multi-mass CG solver from the MILC quantum chromodynamics package to speedup improved staggered quarks computations on NVIDIA GPUs. The implementation is built on the QUDA package from Boston University.