Academia
Academia
Universities and national laboratories face graph problems that push past the limits of conventional clusters. Many of these workloads send enormous numbers of small messages to unpredictable locations, which is the traffic pattern the Data Vortex network handles natively, without bucketing. The Data Vortex graph acceleration appliance brings interactive, full-scale analysis to the research community, turning multi-day batch jobs into exploratory sessions. Possible applications include:
Biology
Genome assembly / Protein interaction networks / Metabolic pathway analysis / Phylogenetic network construction
Neuroscience
Connectome analysis / Biological brain simulation
Earth Sciences
Climate teleconnection networks / Seismic fault interaction / Watershed and river network modeling
Social Sciences
Citation networks / Epidemic spread modeling / Social network dynamics
Computer Science
Large-scale graph neural network training,graph algorithm research