Towards hybrid platforms

GPU computing at that point meant rewriting code around a new memory and parallelism model. Most talks that year answered whether the speed-up justified the effort.

For most linear algebra and molecular dynamics workloads the answer turned out to be yes. HP, Intel, Microsoft and NVIDIA all had talks in the programme.