A CUDA Array Wrapper for Device Memory and Host Transfers

Summary

The document presents a templated C++ array class for managing data in CUDA device memory. Its interface supports allocation at construction, resizing, querying the array length, and accessing the device pointer. Separate methods copy data from host memory to the device and back, limiting each transfer to the smaller of the requested and allocated lengths.

The class checks the return status of allocation and copy operations and throws runtime exceptions when those operations fail. Its destructor releases allocated device memory, while private helper methods keep allocation and release details behind the public interface. This is a programming utility rather than a trading strategy or performance study: it provides no benchmark evidence, and the explanation does not assess broader concerns such as copy semantics or alternative memory management designs. The article frames the wrapper as groundwork for later CUDA examples, including a Monte Carlo option-pricing simulation.

Key ideas

• A small wrapper can centralize allocation and release of CUDA device memory.
• Host-to-device and device-to-host methods simplify transfers and check for CUDA errors.
• Transfer length is capped at the smaller of the requested and allocated array sizes.
• The destructor frees device memory when the array object is destroyed.
• The article describes a utility class but gives no performance benchmarks or trading results.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.