Tag Archives: remote visualization

2019: Hidden Workstations Everywhere — Personal Computing for Visualization in the Mature Cloud Era

Author(s): Aaron Knoll
Affiliation(s): University of Utah


Abstract:

In just five short years, visualization, HPC and data analysis users will need to constantly remind themselves which resource they’re working on as they run dozens of virtualization clients on devices from tablets and laptops to wristwatches and headsets. The desktop will not be truly dead — just lonely — living either in an empty office or in a machine room. But it will be busy. New CPU and manycore architectures, cheap memory, and the demands of scalable ray tracing and database algorithms will bring about a return of mid-scale shared-memory computing. Visualization clusters and cloud resources will increasingly consist of “fat nodes”, operated interactively as opposed to in batch. For the foreseeable future, the occasional need for root access, large displays and a real mouse and keyboard to interact and code will bring researchers back to the office to work on their personal machines, before heading off to the next conference to actually do work on them.

 

The Desktop is Dead — Long Live the Workstation?

Author(s): Aaron Knoll
Affiliation(s): SCI Institute, University of Utah


Abstract:

We explore shared-memory workstations as compelling alternatatives to desktops and small clusters, for purposes of scientific visualization. With new manycore CPU hardware on the horizon and the current popularity of large-memory “fat nodes” in HPC, SMP workstations are poised to make a comeback. These machines will augment, not replace, HPC and cloud resources, providing both remote visualization and more personalized vis labs. They will be accessible anytime, anywhere on any device, running a single operating system, capable of handling all but the absolute largest scientific data. We describe current state of the art, emerging trends, and use cases that could make the SMP workstation the dominant driver of high-end scientific visualization in the next decade.