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Atos Launches First Supercomputer Equipped with NVIDIA A100 GPU

Today Atos announced its new BullSequana X2415, the first supercomputer in Europe to integrate NVIDIA’s Ampere next-generation graphics processing unit architecture, the NVIDIA A100 Tensor Core GPU. This new supercomputer blade will deliver unprecedented computing power to boost application performance for HPC and AI workloads, tackling the challenges of the exascale era. The BullSequana X2415 blade will increase computing power by more than 2X and optimize energy consumption thanks to Atos’ 100% highly efficient water-cooled patented DLC (Direct Liquid Cooling) solution, which uses warm water to cool the machine.

Barcelona Supercomputing Centre to Optimize Storage and Data Analysis with PPI4HPC

The Barcelona Supercomputing Center (BSC) will provide a new storage infrastructure for enhanced data analysis capabilities thanks to the PPI4HPC (Public Procurement of Innovations for High Performance Computing). “The proposed infrastructure includes a disk tier built on all-flash technology and spinning disk drives. It changes the way underlying physical drives are managed, accessed and rebuilt in case of failures in order to minimize the impact to the scientific applications. It is a High-Performance Analytics compute infrastructure to run data analytics operations with the latest Power microprocessors and NVMe PCIe local storage to accelerate the workloads.”

Video: High-Performance Computing with Python – Reducing Bottlenecks

This course addresses scientists with a working knowledge of NumPy who wish to explore the productivity gains made possible by Python for HPC. “We will show how Python can be used on parallel architectures and how to optimize critical parts of the kernel using various tools. The following topics will be covered: – Interactive parallel programming with IPython – Profiling and optimization – High-performance NumPy – Just-in-time compilation with Numba – Distributed-memory parallel programming with Python and MPI – Bindings to other programming languages and HPC libraries – Interfaces to GPUs.”

Job of the Week: Postdoctoral scholar position for terrestrial systems modeling at Jülich Supercomputing Centre

The Jülich supercomputing Centre in Germany is seeking a Postdoctoral scholar position in the field of terrestrial systems modeling. “You will setup and perform large scale terrestrial systems simulations over the European continent based on novel climate change scenarios and story lines. The simulation results will be analyzed using advanced data analytics technologies to inform various sectors in order to formulate adaptation strategies.”

Modular Supercomputing Moves Forward in Europe

In this video from ISC 2019, Thomas Lippert from the Jülich Supercomputing Centre describes how modular supercomputing is paving the way forward for HPC in Europe. “The Modular Supercomputer Architecture (MSA) is an innovative approach to build High-Performance Computing (HPC) and High-Performance Data Analytics (HPDA) systems by coupling various compute modules, following a building-block principle. Each module is tailored to the needs of a specific group of applications, and all modules together behave as a single machine.”

Jülich Supercomputing Centre Announces Quantum Computing Research Partnership with Google

Today the Jülich Supercomputing Centre announced it is partnering with Google in the field of quantum computing research. The partnership will include joint research and expert trainings in the fields of quantum technologies and quantum algorithms and the mutual use of quantum hardware. “The German research center will operate and make publicly accessible a European quantum computer with 50 to 100 superconducting qubits, to be developed within the EU’s Quantum Flagship Program, a large-scale initiative in the field of quantum technologies funded at the 1 billion € level on a 10 years timescale.”

Jülich installs first Cluster Module for DEEP-EST Exascale Project

Researchers at the Jülich Supercomputing Centre have installed the first-ever Cluster Module from MEGWARE as part of the European DEEP-EST project for Exascale computing. The Cluster Module consist of a single rack with 50 Intel Xeon Scalable Processor-based dual-socket nodes with a Mellanox EDR-InfiniBand 100Gbps high-performance cluster fabric. “The DEEP-EST prototype will demonstrate that a Modular Supercomputer is much more flexible than a monolithic one, and matches very diverse application profiles in a cost-effective way.”

Job of the Week: Computer Scientist at the Jülich Supercomputing Centre

The Jülich Supercomputing Centre in Germany is seeking a Computer Scientist in our Job of the Week. “The institute of Bio- and Geosciences – Agrosphere contributes to an improved understanding and reliable prediction of hydrologic and biogeochemical processes in terrestrial systems. You will develop and apply advanced geoscientific simulation software in high-performance computing environments of the Jülich Supercomuting Centre.”

Atos Launches Open Edge and HPC Initiative for the coming 5G World

Today Atos announced a joint effort with E4, the Jülich Supecomputing Centre, Fraunhofer FOKUS, Huawei, Mellanox, and SUSE to help shorten time-to-market for HPC and Edge deployments. “Collaborative and grassroots initiatives focused on solving real world problems are the hallmark of a vibrant ecosystem,” said Jean-Marc Denis, Head of Strategy, BigData and Security at Atos. “Addressing the challenge of supporting one trillion connected devices requires today’s infrastructure to evolve. Only the Arm ecosystem has the flexibility, scalability, and technical breadth to bring best-in-class solutions to market in areas as diverse as edge and high-performance compute.”

Brain Research: A Pathfinder for Future HPC

Dirk Pleiter from the Jülich Supercomputing Centre gave this talk at the NVIDIA GPU Technology Conference. “One of the biggest and most exiting scientific challenge requiring HPC is to decode the human brain. Many of the research topics in this field require scalable compute resources or the use of advance data analytics methods (including deep learning) for processing extreme scale data volumes. GPUs are a key enabling technology and we will thus focus on the opportunities for using these for computing, data analytics and visualization. GPU-accelerated servers based on POWER processors are here of particular interest due to the tight integration of CPU and GPU using NVLink and the enhanced data transport capabilities.”