 |
GPU-Cluster Computing (2006-2008)★Acceleration of unmodified legacy code on GPU-clusters★ A single GPU already offers two levels of parallelism, but similar to CPUs, demand for higher performance and larger problem sizes leads to the utilization of GPU-clusters, in which every cluster node is equipped with GPUs. This adds the intra-node and inter-node parallelism. The main challenge for these heterogeneous systems is the enormous discrepancy in the bandwidth between the two finer and two coarser levels of parallelism and their integration in legacy code. |
