In a recently published paper, “Reinventing High Performance Computing: Challenges and Opportunities,” three HPC luminaries have started an important discussion about the future of HPC and its impact on American competitiveness. In this episode of the @HPCpodcast, we talk with one of the authors, Dan Reed of the University of Utah, on the challenges facing the United States as it strives to compete globally in high-end supercomputing.
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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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