Maximizing Unified Memory Performance in CUDA | NVIDIA Technical BlogMany of today’s applications process large volumes of data. While GPU architectures have very fast HBM or GDDR memory, they have limited capacity. Making the most of GPU performance requires the data to be as close to the GPU as possible. This is especially important for applications that iterate over the same data multiple times or have a high flops/byte ratio. Many real-world codes have to selec
GitHub - ROCm-Developer-Tools/HIP: HIP: C++ Heterogeneous-Compute Interface for Portability
