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Big Data Clusters

Getting the benefits of big data analytics can be challenging, but it is a necessary endeavor for any organization to succeed going forward. Understanding the challenges to maximizing big data analytics and DL, and how to overcome them, is crucial. Determining your expectations up front, and carefully orchestrating your infrastructure build, will allow you to construct an architecture […]

It’s Time to Resolve the Root Cause of Congestion

Today, every high-performance computing (HPC) workload running globally faces the same crippling issue: Congestion in the network.

Congestion can delay workload completion times for crucial scientific and enterprise workloads, making HPC systems unpredictable and leaving high-cost cluster resources waiting for delayed data to arrive. Despite various brute-force attempts to resolve the congestion issue, the problem has persisted. Until now.

In this paper, Matthew Williams, CTO at Rockport Networks, explains how recent innovations in networking technologies have led to a new network architecture that targets the root causes of HPC network congestion, specifically:

– Why today’s network architectures are not a sustainable approach to HPC workloads
– How HPC workload congestion and latency issues are directly tied to the network architecture
– Why a direct interconnect network architecture minimizes congestion and tail latency

ANSYS® FLUENT® ON MICROSOFT® AZURE® HBv3 VIRTUAL MACHINES FEATURING AMD 3D V-CACHE™ TECHNOLOGY

ANSYS® FLUENT® ON MICROSOFT® AZURE® HBv3 VIRTUAL MACHINES FEATURING AMD 3D V-CACHE™ TECHNOLOGY   COMPUTATIONAL FLUID DYNAMICS AMD EPYC™7003 Series Processors with AMD 3D V-Cache deliver outstanding scale-out performance running Ansys® Fluent® on Microsoft® Azure® HBv3 virtual machines. This performance brief concludes that Azure HBv3 VMs powered by AMD EPYC 7003 Series processors with AMD […]

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Sponsored Guest Articles

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