high performance computing on graphics processing units: hgpu.org

We advocate the use of high-level OS abstractions in heterogeneous systems, such as CPU-GPU hybrids. We suggest the idea of an inter-device shared file system (IDFS) for such architectures. The file system provides a unified storage space for seamless data sharing among processors and accelerators via a standard wellunderstood interface. It hides the asymmetric nature of CPU-accelerator interactions, as well as architecturespecific inter-device communication models, thereby facilitating portability and usability. We explore the design space for realizing IDFS as an in-memory inter-device shared file system for hybrid CPU-GPU architectures.