httpv://www.youtube.com/watch?v=9Wk9t-lrBGc
In this video, Ed Horton from the Horton Wison Deepwater consulting company discusses how his company is using a Cray CX1000 system to run hydrodynamic and structural simulations using CFD applications.
In this interview, Kikozashvili looks at DriveNets’ AI Ethernet solution that is used as a back-end network fabric for large GPU clusters and storage networking solution and how it supports the high-performance Ethernet alternative to InfiniBand.
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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