The massive parallelism of GPUs provides ample of performance for certain algorithms in scientific computing. At the same time, however, Amdahl's Law imposes limits on possible performance gains from parallelization. Thus, let us look in this blog post on how *few* threads one can launch on GPUs while still getting good performance (here: memory bandwidth). Continue reading
Tag Archives: GPU
GPU Research Center at TU Wien
Today it was announced that 
TU Wien hosts an NVIDIA GPU Research Center, for which Josef Weinbub, Florian Rudolf, and I are PIs. The agenda includes improvements to ViennaCL as well as PETSc, both open source libraries I'm actively involved in. In addition to continued, incremental improvements, we will also look into two interesting research questions related to the numerical solution of partial differential equations. Continue reading