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State-of-the-Art and Trends for Computing and Interconnect Network Solutions for HPC and AI

Authors: A. Tekin; A.Tuncer Durak; C. Piechurski; D. Kaliszan; F. Aylin Sungur; F. Robertsén; P. Gschwandtner;

State-of-the-Art and Trends for Computing and Interconnect Network Solutions for HPC and AI

Abstract

Since 2000, High Performance Computing (HPC) resources have been extremely homogeneous in terms of underlying processors technologies. However, it becomes obvious, looking at the last TOP500, that new trends tend to bring new microarchitectures for General Purpose Processors (GPPs) and new heterogeneous architectures, combining accelerators with GPP, to sustain both numerical simulation and Artificial Intelligence (AI) workflows. The present report provides a consolidated view on the current and mid-term technologies (2019-2022+) for two important components of an HPC/AI system: computing (general purpose processor and accelerators) and interconnect capabilities and provides an outlook on future trends in terms of mid-term projections about what users may expect in the coming years.

Keywords

Technical Report, PRACE, AI, HPC, GPPs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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