In this contributed article, graphic designer and content writer, Erika Ballo delves into some emerging tools and frameworks in AI, comparing their strengths, usability, and ideal use cases.
At the Convergence of HPC, AI at Scale, Quantum
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Webinar: How to Prepare for Quantum, with Insights from Alice & Bob and Hyperion Research
The state of quantum is full of promise and in a constant flux, so much so that it’s hard to keep track of. In this webinar, we have Julliette Peyronnet of French ….
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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
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