“Exascale’s New Frontier,” a project from the Oak Ridge Leadership Computing Facility, explores the new applications and software technology for driving scientific discoveries in the exascale era. The Scientific Challenge As more renewable sources of energy are added to the national power grid, it becomes more complex to manage. That’s because renewables such as wind […]
[SPONSORED GUEST ARTICLE] Computer scientist Alan Perlis once said that fools ignore complexity while pragmatists suffer it. But when it comes to the complexity of configuring HPC, AI and data analytics environments, Perlis might say Dell Technologies walks in the path of geniuses: they remove complexity…..
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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