This document contains sizing information about the sample datasets. This is useful for sizing when launching the NVIDIA IndeX Kubernetes Application.
| Dataset | Size (GB) | Required GPUs | Recommended GPUs |
|---|---|---|---|
| Supernova | 0.3 | 1 x T4 | 1 x T4 |
| Big Brain | 52 | 4 x T4 | 8 x V100 |
| Parihaka - Clipped | 33 | 1 x T4 | 1 x V100 |
| Parihaka - Full | 33 | 3 x T4 | 4 x V100 |
| Parihaka - Slices | 33 | 1 x T4 | 1 x V100 |
| Cholla | 85 | 6 x T4 | 8 x V100 |
| Fly Brain | 20 | 2 x T4 | 2 x V100 |
Core-collapse supernovae are the birth places of neutron stars and black holes. They liberate the ashes of stellar evolution, seeding the interstellar gas with the elements from which planets form and life is made. Despite their importance for much of astrophysics, our understanding of the supernova explosion mechanism, and its dependence on progenitor star properties, is still incomplete. The present dataset represents a short sequence of a core-collapse simulations. Such simulations produce terabytes of output posing challenges regarding the effective analysis of the physical processes. NVIDIA IndeX gives researchers and scientists essential visual insights into such massive supernova simulations and lets them expore the involved astrophysics processesvisualize. Please also review the paper.
Credits: Phillip Moesta, Christian D. Ott, Roland Haas. Simulations done on NSF / NCSA Blue Waters Supercomputer. Simulation data kindly provided by Christian Ott.
The brain dataset is a ultrahigh-resolution scan of a human brain at nearly cellular resolution of 20 micrometers, based on the reconstruction of 7404 histological sections. This dataset contains the reconstituted sections in the coronal dimension. It shows aligned sections in the axial and sagittal dimension, and histological volumes in histological space. The NVIDIA IndeX Accelerated Computing technology (XAC API) is the powerful tool that enables researchers to carve out and identify different features of particular interest inside the visualizations.
Credits: Prof. Dr. med. Katrin Amunts and the Structural and Functional Organization of the Brain lab at the Institute of Neuroscience and Medicine, Research Centre Jülich.
Taranaki Basin is an onshore-offshore rift basin on the West Coast of New Zealand approx. 400 km west of the Pacific-Australian plate boundary. The seismic data of the Parihaka survey is located towards the northern part of the Basin and was acquired 2004 by New Zealand Petroleum and Minerals. The survey covers an area of 1,7 sq.km and the seismic data volume consists of 1132 inlines and 2904 cross-lines. NVIDIA IndeX is commonly used in the seismic interpretation systems for scalable, high-fidelity and realtime visualization of seismic data. The clipped volumes illustrates how the NVIDIA IndeX Accelerated Computing (XAC) technology can be used to implement effective visualizations providing valuable cues and thus generates better insights into the subsurface structures for efficient data interpretation.
Credits: Special thanks to Crown Minerals and the New Zealand Ministry of Economic Development for allowing us to display this Taranaki Basin dataset. Crown Minerals manages the New Zealand Government’s oil, gas, mineral and coal resources. More information is available at: [http://www.crownminerals.govt.nz]
Taranaki Basin is an onshore-offshore rift basin on the West Coast of New Zealand approx. 400 km west of the Pacific-Australian plate boundary. The seismic data of the Parihaka survey is located towards the northern part of the Basin and was acquired 2004 by New Zealand Petroleum and Minerals. The survey covers an area of 1,7 sq.km and the seismic data volume consists of 1132 inlines and 2904 cross-lines. NVIDIA IndeX is commonly used in the seismic interpretation systems for scalable, high-fidelity and realtime visualization of seismic data. The visualization of the entire Parihaka survey demonstrates that NVIDIA IndeX can utilize multiple GPUs for interacive exploarion of seismic data ultimately at any scale for efficient data interpretation.
Credits: Special thanks to Crown Minerals and the New Zealand Ministry of Economic Development for allowing us to display this Taranaki Basin dataset. Crown Minerals manages the New Zealand Government’s oil, gas, mineral and coal resources. More information is available at: [http://www.crownminerals.govt.nz]
Taranaki Basin is an onshore-offshore rift basin on the West Coast of New Zealand approx. 400 km west of the Pacific-Australian plate boundary. The seismic data of the Parihaka survey is located towards the northern part of the Basin and was acquired 2004 by New Zealand Petroleum and Minerals. The survey covers an area of 1,7 sq.km and the seismic data volume consists of 1132 inlines and 2904 cross-lines. NVIDIA IndeX is commonly used in the seismic interpretation systems for scalable, high-fidelity and realtime visualization of seismic data. The visualization of the entire Parihaka seismic volume with embedded slices highlights that NVIDIA IndeX with its XAC technology can boost conventional seismic interpretations workflows.
Credits: Special thanks to Crown Minerals and the New Zealand Ministry of Economic Development for allowing us to display this Taranaki Basin dataset. Crown Minerals manages the New Zealand Government’s oil, gas, mineral and coal resources. More information is available at: [http://www.crownminerals.govt.nz]
Galactic winds are outflows of gas driven out of galaxies by the combined effects of thousands of supernovae and are a crucial feature of galaxy evolution. By removing gas from galaxies, they regulate future star formation, and distribute the dust and heavy elements formed in stars throughout the Universe. Despite their importance, a complete theoretical picture of these winds has been elusive. Simulating the complicated interaction between the hot, high pressure gas created by supernovae and the cooler, high density gas in the galaxy disk requires massive computational resources and highly sophisticated software producing terabytes of simulation data. NVIDIA IndeX allows researchers and scientist to create specialized visualizations technique (see XAC API) that helps to answer specific analysis questions regarding large-scale galactic flow phenomena. Please also review the paper .
Credits: Cholla, Evan Schneider, Princeton University, es26@astro.princeton.edu, Brant Robertson, Associate Professor, University of California Santa Cruz, brant@ucsc.edu, Simulations done on the ORNL Titan supercomputer.
The dataset represents a nanoscale imaging of the brain of a fly. The core of the work is the combination of expansion microscopy and lattice light-sheet microscopy (ExLLSM) to capture large super-resolution image volumes of neural circuits using high-speed, nano-scale molecular microscopy. The XYZ GB of multi-channel ExLLSM data show the 3D spatial relationships between essential proteins responsible for many functions in the brain including neural connectivity and signal regulation. The NVIDIA IndeX Accelerate Computing technology (see XAC API) allows researchers to visualize each channel individually or in combination to derive additional knowledge from the large data in real time. Please also review Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution paper.
Credits: Eric Bezig, Gokul Upadhyayula, and researchers from MIT, Harvard, University of California, Berkeley.