Barcelona, February 8th 2023 – HPCNow! has announced a real-time HPC cluster monitoring capability. The monitoring stack includes open-source solutions such as Grafana, Elasticsearch and Prometheus, for visualization and data storage, and Slurm plugins plus customized scripts to gather all the information needed by the system administrator. It is delivered using Docker Compose for single-node […]

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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.

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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.

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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.

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