SAN FRANCISCO – March 1, 2022 – Advanced analytics company OmniSci announced its rebrand to HEAVY.AI with the intent of helping enterprises face a new era of challenges in leveraging their big location and time data to visualize and identify business opportunities and risks. The pace of new digital data being created continues to skyrocket. […]
ECP Brings Visualization Software to Exascale and GPU-accelerated HPC Systems
November 16, 2021 by
The development of the VTK-m toolkit, a scientific visualization toolkit for emerging architectures, is a critical advancement in support of scientific visualization on exascale and GPU-accelerated systems for high-performance computing (HPC) users. VTK-m is needed because—counterintuitively—GPUs currently have software challenges when supporting large-scale scientific visualization tasks. For historical reasons, their massively multithreaded architecture, separate memory subsystems, and advent of new visualization workflows, such as in situ and in transit visualization, that bypass data movement for big-data simulations are currently problematic for scientific visualization.
GPU-Powered Smarter, Faster Visual Search
In visual search is seen as the next great search frontier, and Microsoft’s Bing has tapped the power of NVIDIA GPUs to make it a reality. Download the new white paper from Nvidia to explore how Bing deployed NVIDIA technology to speed up object detection and deliver pertinent results in real time.
NVIDIA Makes Visualization Easier in the Cloud
March 20, 2018 by
Visualizing the results of a simulation can give new insight into complex scientific problems. Interactive viewing of entire datasets can lead to earlier understanding of the challenge at hand and can enhance the understanding of complex phenomena. With the release of the of HPC Visualization Containers with the NVIDIA CPU Cloud, it has become much easier to get a visualization system up and production ready much quicker than ever before.
