Good morning to you from SC24 in Atlanta. Here’s a quick (5:33) run-through of recent developments in the world of HPC-AI, including:
– The SC24 conference starts today!
– TSMC, the CHIPS Act and semiconductor demand
– Sandia National Labs teams with Cerebras
You can find our podcasts at insideHPC’s @HPCpodcast page, on Twitter, on the OrionX.net blog page, on iTunes and Google. Here’s the OrionX.net podcast page, and the RSS feed. We’re also available on Spotify and iTunes.
[SPONSORED GUEST ARTICLE] How exascale systems have been stood up has been recounted in detail, as has the dramatic moment when Frontier achieved exascale status. Now the focus has shifted to the work research organizations are doing with exascale, how it’s actually changing the world ….
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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