Accelerating Workflows with NVIDIA HPC Compilers: Unlocking Performance on NVIDIA H200 GPUs

The NVIDIA HPC Compiler stack is essential for bridging the gap between the raw power of hardware like the NVIDIA H200 GPU and real-world application performance. Part of the NVIDIA HPC SDK, it includes NVFORTRAN, NVC++, and NVC compilers that allow developers to accelerate existing code using directive-based models like OpenACC, avoiding the need for complete rewrites in CUDA. The compilers are designed to leverage the H200's specific architectural strengths, including its 141 GB of high-bandwidth memory and advanced Tensor Cores that accelerate mixed-precision AI and HPC workloads. To achieve these performance gains, a disciplined approach is required, involving profiling to identify bottlenecks, incrementally porting legacy applications, and systematic performance tuning. This ensures organisations can translate their investment in H200 hardware into measurable improvements in efficiency and throughput.