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Future gem5-gpu Software Architecture Vision: Here is a diagram of the future gem5-gpu software architecture. In order to more clearly define and connect GPU hardware with specific gem5-gpu programming constructs, we plan to move much of the functionality currently held in the CudaGPU out to a CudaContext class. This class will aggregate the system state associated with running a GPU kernel and will be used for the following functions: Managing GPU memory space page table Interfacing with a copy engine which will copy data into and out of the GPU context’s memory space Storing and managing PTX code and variables for the context Managing the process of interfacing with CPU thread context through blocking Introduction of the CudaContext will require updating the CUDA syscall interface in gem5-gpu (little/no change is expected for libcuda).