How Heterogeneous Computing is Driving a New Era of Accelerated HPC Workloads

How Heterogeneous Computing is Driving a New Era of Accelerated HPC Workloads

On November 17, 2021

Location: Online (Webinar)

Xilinx (United States) - As big data pushes the need for high-performance computing (HPC) toward the exascale threshold, the pressure is on to find computing architectures that meet the right mix of price, performance, and power efficiency to support:

  • Cost-effective data center scalability:
  • Accelerated applications that drive higher end-user productivity and faster time to insights
  • Lower power consumption

The datacenter landscape has changed dramatically in the last decade and one thing is clear: CPUs and GPUs alone can no longer meet the ever-growing demands of big-data-driven workloads.

Join us for a panel discussion with real-world examples of how compute-intensive workloads such as computer-aided engineering, massive streaming sensor data, and graph database analytics benefit from new HPC clustering methodologies to cost-effectively deliver higher levels of scale, power efficiency, and speed to insights and science.

Featured Panelists:

  • Nathan Chang - HPC Product Manager, Xilinx Data Center Group
  • Bob Lucas - Distinguished Engineer, Ansys
  • Dan Eaton - Director of Business Development, TigerGraph
  • Vinod Kathail - Chief Architect, Xilinx

For more information about this article from Xilinx click here.

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