Massive Parallel Processing can unlock more GPU performance by changing how work is submitted, not just the hardware itself. This post compares MPP with traditional kernel launches in FFT workloads and explains why execution model matters.

Learn how the G2CPU Zero Copy API boosts LabVIEW performance by linking NI DMA and CUDA DMA directly. Eliminate data copies, reduce CPU load, and stream up to 7 GB/s between NI PXI hardware and GPUs. Unlock faster, more efficient CUDA data processing

G2CPU v1.6 introduces asynchronous DMA transfers in LabVIEW, boosting GPU throughput and achieving near-PCIe speeds compared to synchronous transfers.