Release v1.1.0

This release adds new option to reserve GPU for long-term exclusive use preventing GPUAllocator to use it.
TutorialApp contains new example showing this feature.
API stays backward compatible.

Release v1.0.0

This first release allows the user to safely utilize available GPU accelerators from a multi-threaded application environment. If multiple GPU accelerators are available, simple load-balancing is applied, which takes into account the number of currently submitted tasks on the accelerators.
The PPU4ILGPU library also implements a fast cache of compiled kernels and provides reusable AcceleratorStream objects.
PPU4ILGPU is designed for both singleton and dependency injection application scenarios.