GENCI Announces Major Upgrade to Adastra Supercomputer with AMD’s Latest APU

November 14, 2023

Nov. 14, 2023 — GENCI has announced a major upgrade to Adastra, Europe’s most energy-efficient supercomputer, integrating AMD’s innovative Instinct MI300A APU to enhance HPC and AI research in fields ranging from climate science to new energy development.

While Adastra, the latest GENCI’s supercomputer hosted and operated by CINES in Montpellier is now at full speed, aiming to accelerate the convergence between HPC and AI workloads in many domains (including climate research, astrophysics, material sciences and chemistry, new energies including fusion or biology and health applications), GENCI, CINES are announcing a first upgrade using the highly innovative AMD Instinct MI300A Accelerated Processing Unit (APU).

Adastra is among the most powerful supercomputers in Europe and the most energy efficient system in production (ranked #3 on the November 2023 edition of the Green500).

In the field of climate modeling researchers from “LAERO Laboratoire d’Aerologie” located in Toulouse, benefited from a one year collaboration with CINES and HPE experts, for porting and scaling out on AMD Instinct accelerators Meso-NH, a leading atmospheric non-hydrostatic model, using the OpenACC support of the Cray compiler and ensuring bit reproducibility requirements.

The result of this work will be presented during the SC’23 conference in Denver. They also performed a Grand Challenge on 128 hybrid nodes (512 AMD Instinct MI250X GPUs / 1,024 GCD – Graphic Compute Dies) in modeling past extreme weather at a grid resolution of 1.5 billion points with an unprecedented 100m resolution (Giga- LES). These simulations were instrumental in studying recent storms in the Atlantic (Storm Alex over Brittany in October 2020) and Mediterranean, including extreme wind gusts.

In the field of the development of new energies a team from CERFACS ported the AVBP code and performed a hi-fidelity LES simulation of a windfarm of 80 wind turbines. The goal was to study the vortex wake effects potentially leading to a decrease in wind speed behind the turbine and an increase in fatigue loads within a Grand Challenges using 16 hybrid nodes of Adastra (64 AMD InstinctMI250X GPUs / 128 GCD – Graphic Compute Dies).

In the field of high resolution of the first kilometers of Earth’ crust, crucial toward the energy transition (massification of gas storage, extraction of resources used for solar/windfarm energy or next generation of batteries) a team from the SEISCOPE consortium  performed on 49,152 4th AMD EPYC “Zen4” cores of Adastra using an allocation of 28 million core hours an unprecedented modeling of 3D maps of wave propagation velocity, density and a quality factor characterizing subsurface attenuation comprising over 123 million pixels, with a resolution of several tens of meters. The following picture highlights a comparison at 10 Hz and 22.5 Hz of the velocity model (Figure 1), and an image cube derived from velocity and density (Figure 2). The gain in detail is striking!

These scientific results have been achieved prior to entering a full production mode on Adastra, and after the completion of the contract of progress funded by GENCI. Those last allowed joint teams of application owners and experts from HPE, AMD and CINES to port and offload on GPUs the existing scalar applications and compare apple-to-apple TTS / ETS (Time To Solution / Energy To Solution) between one (1) scalar node (Based on 4th gen AMD CPUs) and one (1) accelerated node (based on AMD Instinct MI250X accelerators).

In October 2023, in order to amplify this dynamic, GENCI and CINES have decided to engage a first extension of Adastra based on 112 AMD Instinct MI300A APUs integrated in a new HPE Cray EX4000 cabinet equipped with 14 HPE Cray EX255a Accelerator Blades, 28 nodes, each with 4 AMD Instinct MI300A APUs, each APU being connected to one HPE Slingshot interconnect 11 NIC@200 Gbps.

Thanks to its innova7ve APU architecture, this future AMD Ins7nct MI300A par77on is designed to offer to French researchers an increased support in the convergence of HPC and AI applica7ons by providing a unique memory coherent compu7ng system federa7ng on the same socket both general-purpose (scalar) and accelerated resources.

About GENCI

Created by the public authorities in 2007, GENCI is a major research infrastructure. This public operator aims to democratize the use of digital simulation through high performance computing associated with the use of artificial intelligence, and now quantum computing, to support French scientific and industrial competitiveness.


Source: GENCI

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