high performance computing on graphics processing units: hgpu.org

Graphics processing units (GPUs) offer a low-cost approach to parallel high-performance computing. Neuronal simulations can be parallelized efficiently and are particularly well suited for implementation on GPUs. There is also great potential for GPU-based high-throughput analysis of neuronal data. The field is progressing at rapid pace, and has reached a point where it may strongly benefit from some kind of convergence between the different approaches. To facilitate communication and foster collaboration in the field, the German INCF Node (G-Node) organizes a one-day symposium on neuronal GPU computing with an adjoint two-day developer workshop.