A performance-oriented data parallel virtual machine for GPUs
Mark S. Peercy, Mark Segal, Derek K. Gerstmann · 2006
Existing GPU programming interfaces require applications to adopt a graphics-centric programming model exported by a device driver tuned for real-time graphics and games. This programming model, however, hinders the development and performance of non-graphics applications by imposing a graphics policy for program execution and hiding hardware resources. We present a new virtual machine abstraction for GPUs that provides policy-free, low-level access to the hardware and is designed for high-performance, data-parallel applications.