G2CPU 1.6.2 delivers major latency reductions and adds event stream APIs, GPU pointer access, and JIT control, with a new example for efficient GPU-based array indexing and reordering.

We’re hard at work on a LabVIEW-native RTSA toolkit using G2CPU, delivering full-bandwidth real-time analysis. Experience zero-span at full rate, real-time PSD, over 1 billion FFTs/s for ultra-low POI, and extremely large FFTs for low RBW.

Experience the boost! G2CPU v1.6.1 loads faster and delivers higher throughput than ever before, pushing your LabVIEW GPU workflows to new speeds.

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.

G2CPU v1.6 adds DETT integration for advanced memory leak detection in LabVIEW. Track memory across CUDA and OpenCL GPU's.