What is a common strategy to improve data transfer rates between CPU and GPU?

Pinned memory is a strategy designed specifically to improve data transfer rates between the CPU and GPU. When memory is "pinned," it is locked in place in the host memory, preventing it from being swapped to disk and ensuring faster access for the GPU. This allows for more efficient data transfers, as pinned memory can be directly accessed by the GPU without the overhead of having to move back and forth between different memory locations. This is particularly important in scenarios where large volumes of data are being transferred, as it minimizes latency and maximizes throughput, leading to improved overall performance in data-intensive applications.

Using larger batch sizes and lower resolution data can impact the overall throughput of computations but may not directly address the transfer rate specifically between CPU and GPU. Increasing RAM speed can enhance memory access times, but it does not specifically focus on the efficiency of data transfers between the CPU and GPU. Pinned memory, therefore, stands out as a focused approach to optimizing this critical aspect of compute-intensive workflows.