Accelerating HPC Programmer Productivity with OpenACC and CUDA Unified Memory
by Rich Brueckner from High-Performance Computing News Analysis | insideHPC on (#3E8D3)
Doug Miles from NVIDIA gave this talk at SC17. "CUDA Unified Memory for NVIDIA Tesla GPUs offers programmers a unified view of memory on GPU-accelerated compute nodes. The CPUs can access GPU high-bandwidth memory directly, the GPUs can access CPU main memory directly, and memory pages migrate automatically between the two when the CUDA Unified Memory manager determines it is performance-profitable. PGI OpenACC compilers now leverage this capability on allocatable data to dramatically simplify parallelization and incremental optimization of HPC applications for GPUs."
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