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Constructing a path to extreme-scale computing

Credit score: Timofeev Vladimir, Shutterstock

Excessive-performance computing (HPC), usually used for fixing superior issues by modeling, simulation, and evaluation, is more and more deployed in scientific and engineering analysis. Along with compute-intensive simulations, the demand for functions like Big Knowledge analytics and complicated visualizations can be rising quickly. Nonetheless, it may be difficult for supercomputer architectures to deal with these duties effectively.

Enter the EU-funded DEEP-EST that’s creating an energy-efficient system structure to suit HPC and high-performance information analytics workloads. To attain this, undertaking companions are constructing a totally working Modular Supercomputing Structure system prototype consisting of three modules: the cluster module, the information analytics module, and the extreme-scale booster module. “Making a modular supercomputer that most closely fits the necessities of the varied, more and more advanced, and newly rising functions is the purpose of DEEP-EST,” as acknowledged on the undertaking web site.

Based on a information launch, undertaking accomplice MEGWARE has introduced “that with the supply and set up of the final of its three modules, the build-up of the DEEP-EST prototype system is now full. Based mostly on the Modular Supercomputing Structure (MSA) developed by Jülich Supercomputing Middle, it encompasses a general-purpose Cluster Module (CM), a targeted Knowledge Analytics Module (DAM) and an Excessive Scale Booster (ESB) , all linked with excessive velocity through a Community Federation.”

The identical information launch notes that the prototype “options state-of-the-art high-performance applied sciences for compute (CPU), acceleration (GPGPU, FPGA), reminiscence (risky, non-volatile), SSD [solid-state drive] storage, I/O [input/output], and community materials to assist fashionable HPC, Knowledge Analytics and AI workloads.” As well as, it makes use of “MEGWARE’s revolutionary direct liquid (heat water) cooling ColdCon know-how for top vitality effectivity and sustainability, thus supporting the EU European Green Deal technique.”

Early entry

The continuing DEEP-EST (DEEP—Excessive Scale Applied sciences) undertaking builds on applied sciences and ideas developed by its predecessors: DEEP (Dynamical Exascale Entry Platform) and DEEP-ER (DEEP Prolonged Attain). Exascale entails laptop methods or functions that might ship at the very least one exaFLOPS, or a billion billion operations per second. A measure of laptop velocity, FLOPS refers back to the variety of floating-point operations per second that may be carried out by a pc.

The developed MSA “is a blueprint for large-scale heterogeneous methods supporting the totally different necessities of HPC, Big Knowledge Analytics and Machine Studying with highest effectivity and scalability,” as defined on the undertaking web site. The MSA combines numerous compute modules with totally different efficiency options right into a single system. These are linked by a high-speed community and are operated “with a uniform system software program and programming surroundings. On this means, one utility could be distributed over a number of modules, operating every a part of its code onto the perfect suited {hardware},” in line with the undertaking web site.

The DEEP-EST undertaking will run till March 2021. Its prototype system is offered to educational and industrial customers by the Early Entry Program (EAP), together with these performing COVID-19-related analysis actions. Data on the EAP and the appliance course of is offered on the project website.

A turbocharger for the supercomputer JUWELS

Extra info:
In direction of a Modular Supercomputing Structure for Exascale:

Constructing a path to extreme-scale computing (2020, July 1)
retrieved 1 July 2020

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