Accelerating Scientific Applications with the NVIDIA Grace Hopper Platform

Dr. Wei Fang1

1NVIDIA, Sydney, Australia

Biography:

Dr. Wei Fang is currently a Solutions Architect for HPC & AI at NVIDIA based in Sydney. He has been working in the HPC domain for over a decade with experiencing design, optimizing and operating HPC & AI infrastructure, developing parallel program, algorithms and scientific applications. In his current role, he works with the Higher Education & Research (HER) and Supercomputing (SCC) sectors to bring the latest accelerated computing technology to researchers for cutting edge research and innovations.

Abstract:

NVIDIA GH200 Grace Hopper Superchip is a breakthrough processor designed from the ground up for giant-scale AI and HPC applications. Building on a decade of GPU acceleration, Grace-Hopper realizes NVIDIA NVLink Chip-to-chip (C2C) interconnection, with a bandwidth of 900 GB/s between the Grace CPU and the Hopper GPU. C2C enables coherent memory at 7x the bandwidth of PCIe Gen 5. This removes the conceptual CPU/GPU memory divide and lowers barriers for scientists accelerating their applications. With more application code executing on GPUs, workload performance becomes increasingly susceptible to non-GPU limiters like data movement and CPU performance (Amdahl’s Law). Grace combines 72 Arm Neoverse-V2 cores with NVIDIA Scalable Coherency Fabric (SCF), a distributed cache and mesh fabric with 3.2 TB/s bi-section bandwidth. This high bandwidth mesh enables one NUMA node for all 72 CPU cores, simplifying multi-core programming. Each core implements a 512-bit SVE2 SIMD pipeline for a total CPU FP64 theoretical peak of 7.1 teraflops. When combined with the up to 500 GB/s memory bandwidth of the LPDDR5X, Grace delivers twice the performance-per-Watt of conventional x86-64 CPUs. This session presents HPC and AI workload performance results with a technical deep-dive into the specific features of Grace-Hopper that accelerate each workload. Attendees will gain a deeper understanding of how to extract the performance offered by Grace-Hopper and realize the potential of this innovative, energy-efficient platform for science and industry.

 

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