Pavilion's Hyperparallel Flash Array (HFA) was selected by Professor Newman and team to meet the extreme IOPs and bandwidth requirements of NVMe-oF for SCinet'19. "As we searched for a storage system that could accommodate hundreds of gigabytes per second of throughput at microsecond latencies that could accommodate our space and power requirements, Pavilion's HFA was an ideal fit", stated Harvey B. Newman, Marvin L. Goldberger Professor of Physics at Caltech.
"We are looking forward to our work with Caltech and the broader HPC community to advance networking and storage technologies", added VR Satish, CTO of Pavilion. "Some of the most sophisticated artificial intelligence, machine learning and deep learning projects take place through collaboration at events such as Supercomputing 2019 and with platforms like SCinet'19. We are pleased to be selected by Caltech as their storage platform for this event as we push the envelope of performance, density and low-latency."
SCinet'19 features the latest advances in terabit/sec networks, intelligent global operations and monitoring systems, workflow optimization methodologies with real-time analytics, and state of the art long-distance data transfer methods, with tools and storage designs to meet the challenges faced by leading-edge programs in high energy physics, astrophysics, climate and other fields of data-intensive science.