Highlights Keywords Computational science, biomedical computing Technologies used GPU accelerated iterative solver for sparse linear systems Challenge Communication and synchronization latencies that are prevalent in large-scale GPU-based supercomputers constitute a major challenge to software implementations that aim to efficiently use a large number of GPUs. The situation is particularly severe when parallelizing iterative solvers of sparse linear systems, because the computational intensity of these solvers is low, making the impact of inter-GPU communication overhead more … Continue reading Success Story: aCG