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Coral and Intel’s Scalable System Framework – The Path to Exascale

“HPC has reached an inflection point with the convergence of traditional high performance computing and the emerging world of Big Data analytics. Intel’s HPC Scalable System Framework enables an unprecedented level of system balance, performance, and scalability necessary to meet the demands of bot compute- and data-intensive workloads, today and well into the future.”

Video: Intel Moves Omni-Path Forward for HPC

“The Intel Omni-Path Architecture is designed to deliver the performance for tomorrow’s HPC workloads and the ability to scale to tens—and eventually hundreds—of thousands of nodes at a cost-competitive price to today’s fabrics. This next-generation fabric from Intel builds on the Intel True Scale Fabric with an end-to-end solution, including PCIe* adapters, silicon, switches, cables, and management software. Customers deploying Intel True Scale Fabric today will be able to migrate to Intel Omni-Path Architecture through an Intel upgrade program.”

A New Direction in HPC System Fabric: Intel’s Omni-Path Architecture

In this special guest feature, John Kirkley writes that Intel is using its new Omni-Path Architecture as a foundation for supercomputing systems that will scale to 200 Petaflops and beyond. “With its ability to scale to tens and eventually hundreds of thousands of nodes, the Intel Omni-Path Architecture is designed for tomorrow’s HPC workloads. The platform has its sights set squarely on Exascale performance while supporting more modest, but still demanding, future HPC implementations.”

Interview: Intel’s Alan Gara Discusses the 180 Petaflop Aurora Supercomputer

In this interview, Intel’s Alan Gara describes the Aurora system, a 180 Petaflop supercomputer coming to Argonne. “The Aurora system is based on our Omni-Path second generation. This is an Intel interconnect that we’ve been developing for some time now, and we’re really excited about the capabilities that we expect and scalability that we expect it to bring to high performance computing.”