In this special guest feature, Jon Bashor from LBNL writes that Exascale computing will accelerate the push toward clean fusion energy. “Turning this from a promising technology into a mainstream scientific tool depends critically on high-performance, high-fidelity modeling of complex processes that develop over a wide range of space and time scales.”
Industry Perspectives
HPC: Stop Scaling the Hard Way
…today’s situation is clear: HPC is struggling with reliability at scale. Well over 10 years ago, Google proved that commodity hardware was both cheaper and more effective for hyperscale processing when controlled by software-defined systems, yet the HPC market persists with its old-school, hardware-based paradigm. Perhaps this is due to prevailing industry momentum or working within the collective comfort zone of established practices. Either way, hardware-centric approaches to storage resiliency need to go.
White Papers
Deep Learning GPU Cluster
In this whitepaper, our friends over at Lambda walk you through the Lambda Echelon multi-node cluster reference design: a node design, a rack design, and an entire cluster level architecture. This document is for technical decision-makers and engineers. You’ll learn about the Echelon’s compute, storage, networking, power distribution, and thermal design. This is not a cluster administration handbook, this is a high level technical overview of one possible system architecture.
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